Description

Seeking a career with a sense of purpose, work life balance, and growth opportunities? There’s a place for you at Leidos!

We are currently seeking an Technical Lead to join the Compartmented Enterprise Services Office (CESO) effort. This program is establishing a modern secure web service (SWS) operation as part of a state-of-the-art, highly automated platform capable of supporting a rapidly expanding customer population. Apply today to become part of the Leidos team that is assisting CESO as they migrate to a high security cloud environment by providing network and communication services, monitoring services, and system administration.

This position is based in Arlington, VA and is 100% on-site.

Primary Responsibilities

• Engineering

  • Experience in working on teams utilizing Agile workflows and processes
  • Engineer and architect the database architecture to support modernization initiatives
  • Translate mission outcomes and prioritized product backlog items into technical delivery plans and sprint goals
  • Develop, maintain, and evolve a modernized database architecture aligned to modernization initiatives, including cloud adoption
  • Design, implement, and test database architecture solutions that improve scalability, resilience, security, and performance
  • Re-engineer and transition legacy databases to modernized architectures while enabling coexistence across on-premises and cloud ecosystems
  • Gather, define, and refine database and reporting requirements for internal and external users
  • Maintain enterprise architecture documentation and technical artifacts, including data models, SOPs, installation guides, and related engineering documentation
  • Lead development and integration of secure APIs, data pipelines (structured/unstructured)
  • Experience with software development languages/environments such as:  JavaScript, GitLab, Jenkins, Ansible Automation, Java, PSSQL, YAML, and Terraform
  • Develop automated CI/CD build/deployment pipelines using Ansible and Bitbucket/Gitlab.
  • Implement DevSecOps practices, CI/CD pipelines, automated testing, observability, and security controls
  • Implement software release version control, provide release management support throughout a software product’s life cycle (initial software development through promotion to Test, QA and Production Environments), ensuring the consistency and reliability of software builds

• Organizational & Technical Leadership

  • Define and drive long-term technical strategy and architectural direction across teams
  • Oversee the design and delivery of scalable, secure, and maintainable software solutions
  • Serve as a senior technical authority and escalation point for cross-team and cross-domain issues
  • Champion engineering excellence, including automated testing, CI/CD, reliability, and security
  • Establish standards, best practices, and governance for software development
  • Guide the responsible adoption of generative AI tools across engineering teams

• People Management & Leadership Development

  • Lead, manage, and develop senior engineers and technical teams
  • Own performance management, career development, succession planning, and talent growth
  • Build and sustain a high-performing, inclusive engineering culture
  • Coach leaders on effective team management, delivery, and technical decision-making

• Delivery & Execution

  • Own delivery outcomes across Agile teams, ensuring predictability and quality
  • Partner with product and business stakeholders to align roadmaps, priorities, and execution
  • Ensure effective Agile practices, metrics, and continuous improvement using Jira
  • Balance near-term delivery with long-term platform and technical investments
  • Incorporate customer feedback, operational insights, and data to drive product improvements

• Cross-Functional & Executive Collaboration

  • Act as a key engineering representative in cross-functional and leadership discussions
  • Communicate technical vision, risks, and progress to senior leadership
  • Influence product strategy through deep understanding of users and technical constraints
  • Drive alignment across engineering, product, design, and operations

Basic Qualifications

• Candidate must Currently have a TS/SCI
• BA and 12+ years of experience. Additional years of experience may be considered in lieu of degree.
• Proven track record of leading multiple teams and delivering complex software systems
• Demonstrated leadership skills and attention to detail, including excellent organizational and documentation skills
• Minimum of 10 years of hands-on technical experience in at least three of the following areas: Oracle, SQL Server, Java, engineered systems, cloud technologies, data integration, automated testing and deployments, and DevSecOps
• Demonstrated experience supporting database engineering, architecture, modernization, and Tier III technical support functions in complex enterprise environments
• Strong background in automated testing, CI/CD, and modern software delivery practices
• Experience with software development languages/environments such as:  JavaScript, GitLab, Jenkins, Ansible Automation, Java, PSSQL, YAML, and Terraform
• Hands-on full-SDLC Agile Software Development experience, including full software lifecycle automation experience (design, development, test, deployment), including deployment to a production environment
• Experience designing, building, and deploying DevOps pipelines with Bitbucket, Git, Jenkins, Artifactory and Ansible (or equivalent tools)
• Exceptional leadership, communication, and stakeholder management skills
• Experience working in a high op-temp, top secret environment
• Previous experience tracking projects in Jira or equivalent Agile Project Management software
• Experience with the following technologies:
  • Gradle
  • PowerShell
  • Java Full Stack
  • Oracle 19c
  • Apache HTTP
  • Apache Tomcat
  • Webservices

Preferred Qualifications

• Prior experienced with DISA and DISA’s support to mission partners
• Prior experience leading database modernization and transformation initiatives involving legacy-to-modern platform migration, cloud adoption, or hybrid enterprise environments.
• Experience in high-availability, mission-critical, or large-scale federal enterprise systems requiring strong reliability, performance, and security.
• Demonstrated success leading teams responsible for database architecture standards, engineering governance, integration, and technical problem resolution.
• Experience working in environments that require close coordination with government stakeholders, cross-functional technical teams, and multiple contractors.

AppMod

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 8, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description

If you’ve spent the last few years building your expertise in backend engineering, Java or Python development, and mission‑driven systems, and you’re ready for work that actually moves the needle, this is the kind of opportunity cleared engineers pursue when they want real impact. If you take pride in your craft, write your own résumé, and deliver results that senior leaders actually see, you’ll thrive here.

We’re hiring a Backend Software Engineer to support a high‑visibility application relied on across the organization for data analysis, reporting, and operational decision‑making. You’ll design and build scalable backend services, develop RESTful APIs, integrate complex data sources, and ensure system reliability and performance in a Linux‑based environment.

Our primary development team operates out of Gaithersburg, MD, but we also support onsite engineers in Alexandria, VA; Chantilly, VA; Aurora, CO; St. Louis, MO; and Tucson, AZ, giving top talent multiple paths to join the mission.

And while the requisition requirements may seem standard fair, the position is not; as it will join a high performing team that is changing the way digital engineering and mission operations intelligence is enabled for our customer.

Why This Role Stands Out

• High Impact: Your services power a widely used application that drives real‑time decisions
• High Visibility: Collaborate directly with engineering teams and mission stakeholders
• Career Growth: Deepen your expertise in backend architecture, API design, and scalable systems
• Challenging Work: Build and optimize complex backend features

Key Responsibilities

• Backend Development:Design, develop, test, and maintain backend services using Java or Python
• REST API Development:Design and implement RESTful services to support application functionality and integrations
• Object-Oriented Design:Apply strong object-oriented design principles to build scalable and maintainable systems
• Database Development:Write and optimize SQL queries to support application functionality and performance
• Data Source Integration Coordination: Coordinate with external teams to understand data sources, interfaces, and access patterns, and translate requirements into backend integrations
• System Design Contribution: Participate in technical design discussions and contribute to backend architecture decisions
• Linux Environments:Develop, deploy, and troubleshoot applications within Linux-based environments
• System Troubleshooting:Diagnose and resolve issues across application and database layers
• Code Quality & Best Practices: Participate in code reviews and ensure adherence to engineering standards

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field with 8–12 years of experience; or a Master’s degree with 6–10 years of experience
• U.S. Citizenship
• Active TS/SCI clearance with the ability to successfully pass a Polygraph
• Strong professional experience developing backend applications in Java or Python
• Proven ability to design and develop RESTful APIs that support scalable application functionality
• Solid SQL experience, including writing and optimizing queries across relational databases
• Confident working in Linux‑based environments
• Ability to work independently and drive solutions to moderately complex and complex technical challenges

Preferred Qualifications

• Experience with Apache Airflow or similar workflow orchestration technologies
• Experience with geospatial data and querying (e.g., PostGIS)
• Experience with Spring Boot, Django, or similar backend frameworks
• Experience with CI/CD pipelines (GitLab, Jenkins, etc.)
• Familiarity with containerization (Docker, OpenShift, Kubernetes)
• Exposure to cloud environments (AWS or Azure)
• Experience working in Agile development environments

#MARU

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 16, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Featuredjob

Description

The NISC IV program at Leidos is seeking a Full Stack Developer to join our team and help build scalable, intelligent applications using Power Apps, Appian, and robust data structure principles. The successful candidate will play a critical role in the design, development, and deployment of enterprise-grade applications. Additionally, the ideal candidate will have hands-on experience with Microsoft Power Platform, Appian BPM, and solid knowledge of computer science fundamentals including data structures and algorithms.

Primary Responsibilities:

• Design and develop scalable applications using Power Apps and Appian.
• Collaborate with cross-functional teams to gather and define requirements.
• Build and optimize backend logic, APIs, and data models.
• Implement efficient data structures and algorithms to improve application performance.
• Integrate with third-party systems and enterprise databases.
• Conduct unit testing and participate in code reviews.
• Maintain clear documentation and adhere to software development best practices.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field and 8 to 12 years of relevant experience or Masters Degree and 6 to 10 years.
• 3+ years of experience in full stack development.
• Proficient in Power Apps (Canvas and Model-Driven apps).
• Experience with Appian development and workflows.
• Strong understanding of data structures, algorithms, and software design principles.
• Familiarity with JavaScript, C#, SQL, and RESTful APIs.
• Excellent problem-solving skills and attention to detail.
• Must be able to obtain and maintain FAA Public Trust.

Preferred Qualifications:

• Appian Certified Developer or Microsoft Power Platform certifications.
• Experience with cloud platforms such as Azure or AWS.
• Understanding of Agile/Scrum methodologies.
• Knowledge of security best practices in app development.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 16, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Remote

Description

If you’ve been building your skills in backend development, object‑oriented programming, and mission‑driven engineering, and you’re ready for work that actually moves the needle, this is the kind of opportunity cleared engineers pursue when they want to grow while making real impact. If you take pride in your craft, enjoy solving meaningful technical problems, and want your work to support a mission with visibility at senior levels, you’ll thrive here.

We’re hiring a Backend Software Engineer to support a high‑visibility, data‑driven application used across the organization for analytics and reporting. You’ll help build and maintain core backend services, develop RESTful APIs, support data‑driven functionality, and contribute to ongoing system enhancements within a Linux‑based environment. Your work will directly support system reliability, performance, and data accuracy for mission stakeholders. Our primary development team operates out of Gaithersburg, MD, but we also support onsite engineers in Alexandria, VA; Chantilly, VA; Aurora, CO; St. Louis, MO; and Tucson, AZ, giving top talent multiple paths to join the mission.

And while the requisition requirements may seem standard fare, the position is not; as it will join a high performing team that is changing the way digital engineering and mission operations intelligence is enabled for our customer.

Why This Role Stands Out

• High Impact: Your work supports a widely used application that drives real‑time decision‑making
• High Visibility: Collaborate with engineering teams and mission stakeholders across programs
• Career Growth: Build deeper expertise in backend development, API design, and scalable systems
• Challenging Work: Contribute to complex backend features — not routine maintenance tasks

Essential Responsibilities

• Backend Development: Design, develop, test, and maintain backend application components using Java or Python
• REST API Development: Develop and maintain RESTful services to support application functionality and system integrations
• Object-Oriented Programming: Apply object-oriented design principles to build scalable and maintainable systems
• Database Development: Write and modify SQL queries to support application functionality and data retrieval
• Data Source Collaboration: Collaborate with internal and external teams to understand data sources, formats, and access methods, and support integration into backend systems
• Linux Environments: Develop and troubleshoot applications within Linux-based environments
• Data Processing & Business Logic: Implement backend logic for data transformation, processing, and system workflows
• Bug Fixing & Enhancements: Identify, debug, and resolve application-level defects and performance issues
• Code Quality: Follow coding standards, participate in code reviews, and support documentation efforts

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field with 4–8 years of experience; or a Master’s degree with 2–6 years of experience
• US Citizenship
• Active TS/SCI with the ability to successfully pass a Polygraph
• Professional experience developing object‑oriented applications in Java or Python
• Hands‑on experience building and maintaining RESTful APIs
• Basic to moderate experience with SQL capability, including writing queries and working with relational databases
• Working knowledge of Linux‑based environments
• Ability to work independently on defined tasks within established technical frameworks and deliver reliable results

Preferred Qualifications

• Experience with Apache Airflow or similar workflow orchestration technologies
• Experience with Spring Boot, Django, or similar backend frameworks
• Exposure to CI/CD pipelines (GitLab, Jenkins, etc.)
• Familiarity with containerization (Docker, OpenShift)
• Exposure to cloud environments (AWS or Azure)
• Experience working in Agile development environments

#MARU

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 16, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Featuredjob

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA.

The Data Engineer will leverage their development skills and experience to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data.

Responsibilities include but are not limited to:

• Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment.
• Optimizing all stages of the data lifecycle, from initial planning to ingest through final display and beyond.
• Developing custom solutions or code to ingest and exploit new and existing data sources.
• Developing data profiling, deduping logic, and matching logic for analysis.
• Organizing and maintaining Data Layer documentation while working with data scientists to craft pipelines for AI/ML workflows.
• Collaborating with teammates, service providers, vendors, and users to develop more efficient methods.
• Effectively articulating the risks and constraints associated with software solutions based on the environment.

Minimum Qualifications:

• High School Diploma with 4+ years of relevant data engineering, software development, and/or programming experience.
• Demonstrated data analysis, parsing, and programming language experience such as Python or Java.
• Significant experience with SQL and database management.
• Experience with the full data lifecycle, from ingest through display, in a Big Data environment.
• Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring.
• Experience with RESTful APIs, data pipelining systems like Apache Airflow, and performing ETL tasks in a Linux environment.

Preferred Qualifications :

• Experience deploying systems that leverage AI/ML technology.
• Experience publishing results in BI dashboards.
• Self-starter with excellent people skills able to work across teams and drive change.

Clearance Requirements:

• An active TS/SCI with Polygraph is required for this position.

Physical Requirements:

• Must be able to remain in a stationary position 50% of the time.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL

Relocation assistance is available for this position.

We have multiple exciting opportunities available on our Modeling Factory and Insights & Development teams. As a dedicated Actuarial Analyst I, you will be a near-credentialed analyst responsible for independently applying complex technical and actuarial methodologies as well as requiring expert knowledge in one actuarial practice area (pricing, reserving, modeling, catastrophe risk, claims analytics, product management, etc.) to complete unstructured projects.

What you’ll do:

• Independently applies complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects (e.g., selects and ensures quality of data used to perform trend analysis supports rate level indications; translates business problem into technical requirements; runs catastrophe models and interprets and communicates results to support business activities while executing and enhancing a strong control environment with guidance from an experienced catastrophe modeler.
• Utilizes actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Creates and delivers training to teammates on mechanics of actuarial tools and processes.
• Applies understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identifies compliance gaps and process improvements and recommends develop solutions.
• Leads unit initiatives and participates in cross-functional efforts as a technical subject matter expert.
• Effectively communicates insights and solutions to all audiences, including executive leadership.
• Synthesizes complex and conflicting information into a clear and influential value proposition.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of Actuarial or analytical business experience.
• No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
• Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

What sets you apart:

• A passion for creative and innovative work that improves existing processes and creates new, repeatable and automated workflows that enhance team productivity.
• Basic understanding of GLM or GBM modeling algorithms.
• Intermediate knowledge of Model Risk Management, Model Governance, and Regulatory requirements.
• US military experience through military service or a military spouse/domestic partner.

Compensation range: The salary range for this position is: $103,450 - $186,210.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Manager, Data Scientist - Emerging Payments & Airkey Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The Emerging Payments organization develops and maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities.

Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers.

We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using SQL, Python (and some Scala), tensorflow and pytorch, with Databricks, Snowflake, and other internal platforms and tools.

On any given day you’ll be:

• Creating machine learning models from development through testing and validation to our 30+ million customers in production
• Designing rich data visualizations to communicate complex ideas to customers or company leaders
• Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love
• Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
• At least 1 year of experience leveraging open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Preferred Qualifications:

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data science. Bonus points for experience with transformers
• At least 4 years of experience in Python, Scala for large scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with SQL
• At least 1 year of experience working with AWS

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York, NY: $215,200 - $245,600 for Mgr, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

The External Data Strategy team builds the data pipelines, advanced analytics, and models that enable Capital One to understand our customer’s financial lives. We lead the full data lifecycle from sourcing new data, designing and implementing features pipelines, to providing support to our data users across the business. We leverage Python, Spark, SQL, Databricks, and other AWS capabilities to deliver powerful data for our customers.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data and insights that drive the business
• Leverage a broad stack of technologies - Python, Conda, AWS, Databricks, Spark, and more - to reveal the insights hidden within huge volumes of data
• Build machine learning models and data pipelines through all phases of development, from design through training, evaluation, validation, and implementation
• Develop deep subject matter expertise in consumer financial data and how that data enables Capital One to make the right decisions for our customers.
• Lead a team of 10-15 data scientists as a leader-of-leaders by setting a strategic agenda, providing technical oversight and guidance, and developing talented individual contributors and managers.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :

  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
  • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics

• At least 4 years of experience leveraging open source programming languages for large scale data analysis

• At least 4 years of experience working with machine learning

• At least 4 years of experience utilizing relational databases

Preferred Qualifications:

• At least 3 year of experience working with AWS
• At least 3 year of experience managing people
• At least 5 years of experience in Python for large scale data analysis
• At least 5 years of experience with machine learning
• At least 5 years experience with Spark

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $269,100 - $307,200 for Dir, Data ScienceNew York, NY: $293,600 - $335,100 for Dir, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Business Analyst - Global Payment Network Summary:

The Global Payment Network is a unique network built for global connectivity and partnership. The foundation of our global reach and payments infrastructure rests on three powerful payments leaders and distinct network brands that have operated together for almost two decades.

• Discover Network is an international acceptance network that provides global acceptance to cardholders of participating Issuers from around the world
• Diners Club International is a premium issuing brand that has 40+ issuers in 35+ countries; the Diners Club network is an international network that provides global acceptance to cardholders of participating Issuers from around the world
• Pulse is a leading U.S. debit network known for its strength in real-time debit and an extensive global ATM network

Our analytics teams help power the Global Network by transforming complex payment activity into actionable insights. From monitoring billions of transactions to supporting fraud prevention, merchant strategy, and partner performance, they help ensure our network runs smarter, faster, and more secure.

As a Senior Business Analyst at Capital One, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

General Responsibilities:

• Analysis: Identify business challenges and opportunities for improvement and solve for them using analysis to make strategic or tactical recommendations
• Product: Perform modeling/analytics to assist new product and pricing strategies for various lending products
• Marketing: Support direct-to-consumer marketing efforts for select products, and strategic intent for products distributed through the retail channel. Help build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go to market strategies
• Credit Risk: Support step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behavior, creating risk models, and testing hypotheses using rigorous monitoring and analysis
• Execution: Involve problem frame-works, develop hypotheses, test and analysis, solution development, scope operational feasibility, lead implementation efforts and develop a monitoring plan
• Partnership: Work closely with colleagues across Capital One including: IT, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability
• Strategic & analytic orientation: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation, given that a large part of the business is based on rigorous analytic marketing & credit risk management
• Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business
• Strong communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills
• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment
• Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

• At least 2 years of professional experience performing analysis
• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)
  • A Master’s Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
• 1+ years of experience in Statistical model building
• 1+ years of experience in market research
• 1+ years of experience in SQL querying
• 2+ years of experience in business analysis
• 1+ years of experience in consulting

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL: $101,100 - $115,400 for Sr. Business Analyst

McLean, VA: $111,200 - $126,900 for Sr. Business Analyst
Riverwoods, IL: $101,100 - $115,400 for Sr. Business Analyst

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Associate, Data Scientist - LLM Customization Team Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The LLM Customization team is on the cutting edge of GenAI and at the center of bringing our vision for AI at Capital One to life. The work of the AI Training Team touches every aspect of the model development life cycle and our deployed models in production drive business impact with visibility from our C-Suite.

• Our team creates unprecedented amounts of high quality data for training and testing GenAI models; we care about how it’s created, what’s in those datasets, and the impact they have
• We are invested in building capabilities for evaluating and monitoring generative models; these methods must be state of the art, easy to use, and trusted by our users and contributors
• Horizontal capabilities enable vertical use case work; the team builds search, summarization, RAG, and agentic workflows for integration in production applications across the company
• We learn from our colleagues, attend conferences, publish papers, and maintain strong connections to the research community.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
• Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
• Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
• Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
• Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
• You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
• You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• At least 1 year of experience working with AWS
• At least 3 years’ experience in Python, Scala, or R
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
New York, NY: $176,500 - $201,400 for Princ Associate, Data Science
San Jose, CA: $176,500 - $201,400 for Princ Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
• Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data.
• Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features.
• Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
• Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
• You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
• You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.

Basic Qualifications:

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 3 years’ experience in Python, Scala, or R
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science
New York, NY: $173,000 - $197,400 for Princ Associate, Data Science
San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Objective
The Application Quality Assurance Analyst III supports and enhances the team’s quality assurance capabilities by performing both manual and automated application testing across core enterprise systems (WMS, ERP, Salesforce, and Middleware). This role independently designs test cases, implements automation frameworks, and leverages AI-assisted testing and analytics tools to improve coverage and accuracy. They work collaboratively with developers, analysts, and business users (Value Chain) to ensure that new features and system changes meet functional, performance, and integration requirements. The Analyst III also contributes to continuous improvement of the team’s quality practices, test environments, and DevOps pipelines, using both traditional automation and emerging AI-driven validation methods. The analyst may be involved in other parts of the delivery process including requirements creation, deployment and support.
Responsibilities:

• Create, enhance, execute, maintain, and manage manual test scripts across multiple applications and platforms
• Create, enhance, execute, maintain, and manage automated test scripts using approved tools (e.g., Selenium, Playwright, or similar)
• Apply AI-assisted testing tools (e.g., for regression prediction, visual validation, and script generation) to accelerate test creation and defect identification
• Analyze test results, identify software defects, and collaborate with developers and SMEs
• Support and maintain test environments, including test data management and creation, and environment readiness
• Create test plans creation and quality strategy, providing input on risk-based testing and automation priorities and presents these to the Value Chain for Review
• Document testing outcomes, work with the Value chain to create or update ‘use cases,’ and contribute to user acceptance testing guidance
• Participate in Deployments and Acceptance Testing
• Assist in Support as needed

Qualifications:
Required:

• 5+ years of experience in software quality assurance or software testing roles
• 3+ year experience architecting and designing tests based on user stories and acceptance criteria
• Demonstrated proficiency setting up and using automated testing tools (e.g., Selenium, Playwright) and scripting in Python, JavaScript, or a similar automation language
• Familiarity with AI-driven testing tools for regression or visual testing
• Strong understanding of software QA methodologies, tools, and processes
• Working knowledge of SQL and data validation techniques
• Ability to analyze test metrics and apply data-driven quality improvements

Preferred:

• Highly Preferred: Experience testing WMS and related environments
• Highly Preferred: Understanding the architecture of order to cash and procure to pay systems as it relates to WMS/Supply chain operation
• Experience in DevOps or CI/CD environments (e.g., Azure DevOps)
• Experience testing Infios version 14
• Experience testing in Infios/Korber/High Jump
• Understanding of API and integration testing frameworks

MANTECH seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Chantilly, VA.

The Senior Data Engineer will leverage their strong technical background and knowledge to support the Sponsor’s data initiatives, to include designing large-scale ingest systems, optimizing data lifecycles, and developing custom solutions to exploit new and existing data sources.

Responsibilities include but are not limited to:

• Designing and implementing large-scale ingest systems within complex Big Data environments.
• Optimizing all stages of the data lifecycle, from initial planning and ingest through final display.
• Designing and implementing comprehensive data extraction, cleansing, transformation, and replication processes.
• Developing custom solutions and code to successfully ingest and exploit diverse data sources.
• Working with Sponsor development teams and stakeholders to improve overall application performance.
• Organizing and maintaining robust documentation to ensure systems are understandable and usable.
• Collaborating with teammates, vendors, and users to develop new and more efficient data methods.

Minimum Qualifications:

• High School Diploma/GED with 10+ years of progressively responsible experience data engineering, software development, and/or programming
• Significant software development experience, including Java development, data analysis, and SQL experience.
• Extensive experience managing the full data lifecycle from ingest through display in Big Data environments.
• Experience with Java-related technologies such as JDK, J2EE, JDBC, and experience with RESTful APIs.
• Proven experience developing and performing complex ETL tasks within a Linux environment.

Preferred Qualifications:

• Experience with Hadoop, Hbase, MapReduce, and the Sponsor’s compliance automation tools.
• Experience with Elasticsearch, NiFi, Kafka, and Zookeeper.

Clearance Requirements:

• An active TS/SCI with Polygraph is required for this position.

Physical Requirements:

• Must be able to remain in a stationary position 50% of the time.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, and other productivity tools.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As a dedicated Actuary, you will lead the future of state level pricing strategy. Working in our newly formed Go-to-Market Pricing unit, you will work with a team of actuaries and analysts to design, tailor, and advance pricing and product strategies across diverse state markets. This role blends technical depth with strategic influence, partnering closely with state product leaders, navigating regulatory and environmental complexity, and driving innovative actuarial solutions that enhance member impact and competitiveness.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is available for this position.

What you’ll do:

• Applies advanced actuarial knowledge to complete broad and complex projects (e.g., evaluates and selects methodology to price new discount/endorsement for countrywide rollout; develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed.
• Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Leads special actuarial projects, such as the development of new methodologies or reporting tools.
• Trains new team members on the theory and mechanics of relevant actuarial methodologies.
• Applies deep understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identifies and anticipates compliance gaps and process improvements; recommends and develops solutions to mitigate risk.
• Represents Actuary in cross-functional efforts.
• Develops written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of Actuarial or analytical business experience.
• Associate of the Casualty Actuarial Society (ACAS) Credential.
• Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership.

What sets you apart:

• A passion for creative and innovative actuarial work and developing that mindset in less experienced analysts through project leadership and oversight related to this work
• Strong Actuarial pricing expertise with experience in using a variety of pricing methodologies and models.
• Experience translating detailed analytics into manageable visualizations and communicating/presenting the results concisely to executive leadership.
• Experience working on multiple projects, managing competing priorities, and prioritizing workflow through strong partnerships with multiple business partners.
• Demonstrable problem-solving, critical thinking, and analytic skills.
• Ability to improve existing processes and create new, repeatable workflows to enhance team productivity
• US military experience through military service or a military spouse/domestic part

Compensation range: The salary range for this position is: $127,310 - $243,340.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

We have multiple exciting opportunities available on our Pricing, Indications, and Reserving teams. As a dedicated Actuarial Analyst I, you will be a near-credentialed analyst responsible for independently applying complex technical and actuarial methodologies as well as requiring expert knowledge in one actuarial practice area (pricing, reserving, modeling, catastrophe risk, claims analytics, product management, etc.) to complete unstructured projects.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you’ll do:

• Independently apply complex technical and actuarial methodologies, as well as proficient actuarial knowledge, to complete unstructured projects
• Select and ensure quality of data used to perform trend analysis supports rate level indications; translate business problem into technical requirements; run catastrophe models and interpret and communicate results to support business activities while executing and enhancing a strong control environment with guidance from an experienced catastrophe modeler.
• Utilize actuarial, mathematical, or statistical techniques to augment actuarial work product.
• Create and deliver training to teammates on mechanics of actuarial tools and processes.
• Apply understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
• Identify compliance gaps and process improvements and recommends develops solutions.
• Lead unit initiatives and participate in cross-functional efforts as a technical subject matter expert.
• Effectively communicate insights and solutions to all audiences, including executive leadership.
• Synthesize complex and conflicting information into a clear and influential value proposition.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 4 years of Actuarial or analytical business experience.
• No more than 2 Casualty Actuarial Society (CAS) exams away from Associate of the Casualty Actuarial Society (ACAS) Credential and All Validation of Education Experience (VEEs) completed.
• Demonstrated competency with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
• Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience communicating complex solutions and analysis to both technical and nontechnical audiences.

What sets you apart:

• US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $103,450 - $197,730.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application.
See USAA Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at

Description

Our customer, the Defense Information Systems Agency (DISA), provides, operates, and assures command and control of the Defense Information System Network (DISN) services to its customers, the department of Defense (DoD) and national security organizations. This position directly supports the DISA-provided capabilities and services.

The Leidos Digital Modernization Sector/Global Solutions Management-Operations II (GSMO-II) contract has an opening for a Network Performance & Reliability Engineer II at MacDill AFB, FL.  The Network Engineer will perform  sustainment, performance, maintenance, Problem and Change management services to help ensure secure, reliable, and uninterrupted availability of the Department of Defense networks.

This position requires U.S. citizenship and an active Secret clearance to start.

Responsible for assisting with the following duties:
• Maintain, deploy, and troubleshoot databases and data ingestion scripts.
• Assist data engineers with quality control of data, data collection processes, and testing/implementing data collection and process improvements
• Aid senior team members in supporting GSMO Program driven Innovations development, integration, and continuous improvement by leveraging, maintaining, and in the creation/maintenance of various tools.
• Perform engineering tasks related to the design, performance management/analysis, implementation, and integration of network changes and sustainment of customer systems in an Wide Area Network environment.
• Conduct planning and performance of analytical research, design development, and other tasks to align with customer specifications.
• Control network systems & tools to ensure 99% or better system uptime and connectivity.
• Provide ad-hoc engineering support, statistics/data gathering, modeling, creating/updating flowcharts and providing forecasts based on trending analysis  based on Engineering documents and experience.
• Ensure efficient delivery of contract capabilities using industry standards and repeatable processes.
• Mitigate risks, control costs and schedule variance, and effectively manage large scale, integrated projects.
• Perform a variety of analytical tasks which include hardware and software design and implementation.

Basic Qualifications:

• Experience with coding in languages including but not limited to Expect, Python, SQL, and/or Perl
• Currently possess DoD 8750 certification at IAT level II, Security+ CE or equivalent to meet requirement.
• Experience with Kibana, Service Now,  SQL, Web development, Python, UI UX, or Databases.
• Experience working with large sets of data from either service provider or enterprise networks.
• Experience monitoring, troubleshooting, and/or configuring IP or Transport Network technologies.
• Experience with ports and protocols.
• Experience analyzing network KPIs, VLAN, routing, IP addressing and sub-netting and/or Exposure to troubleshooting, assessment, root cause analysis, and restoration of Optical networks
• Experience with IP or Transport Technology.
• Currently possess an active DoD Secret security clearance.

Preferred Qualifications:

• Familiarization of DOD regulations and directives.
• Python, Pearl or other language scripting capable of pull information from Cisco/Juniper routers and other network devices.
• Proficient in the tools Service Now and/or Kibana is a plus
• Physical cable plant and wiring experience.
• Certifications with major vendors such as Cisco, Elastic, or ITIL4  are a strong plus.
• Excellent project, technical, interpersonal, presentation, Performance analytics,  and problem management skills.
• Extensive network integration experience for a variety of network protocol standards.
• Ability to communicate orally, and in writing, detailed technical information on troubleshooting and implementation efforts.
• Experience with Cisco IOS XR, JUNOS, and Cisco IOS codes.
• IPSEC configuration & troubleshooting experience.
• MPLS configuration & troubleshooting experience.
•CIENA 6500 configuration & troubleshooting experience.
•CISCO 4200 configuration & troubleshooting experience.
•CISCO NCS2K configuration & troubleshooting experience. .
• Proficient in Ciena,  Cisco, and/or Juniper configuration, troubleshooting, and design.

Required Education and Experience:

Requires BS degree and 2-4 years of prior relevant experience or Masters with less than 2 years of prior relevant experience.  Specific experience, education and training may be considered in lieu of degree.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:

February 13, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $59,150.00 - $106,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Featuredjob

The Opportunity:

As a Data Scientist, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges.

As a client facing Data Scientist on our team, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success.

Join us. The world can’t wait.

You Have:

• Experience with designing, building, or maintaining cloud data environments such as Azure and AWS
• Experience with leading or mentoring technical teams of data analysts, engineers, or developers
• Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis
• Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis
• Experience transforming data patterns into predictive insights and deploying data driven solutions
• Experience in data validation, feature engineering and preparing complex data sets for machine learning
• Experience building and automating data pipelines and workflows
• Knowledge of statistical analysis and with modeling techniques, including regression, classification and clustering
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience developing custom data-driven applications or user interfaces for data input and visualization
• Experience with DoD data platforms, including Advana, MCS-COP Foundry, ADE, or similar systems
• Experience with Agile methodologies
• Experience with working on real-time data and streaming applications
• Knowledge of USMC mission and structure
• Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
• TS/SCI clearance
• Master’s degree
• Certified Analytics Professional (CAP) Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,900.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

A career at Resilience is more than just a job - it’s an opportunity to change the future.

Resilience is a technology-focused biomanufacturing company that’s changing the way medicine is made. We’re building a sustainable network of high-tech, end-to-end manufacturing solutions to better withstand disruptive events, serve scientific discovery, and reach those in need.

For more information, please visit

Position Summary

The Automation Engineer III is responsible for delivering technical projects for the manufacturing intelligence and automation systems. The engineer will provide change management and lifecycle analysis for systems within their area of expertise.

Responsibilities

• Interface with several types of equipment and systems, including but not limited to PLCs, SCADAs, HMIs, Servers, Databases, Data Historian, Visualization, and other automation equipment.
• Experience with networking, including but not limited to VLAN, Subnets, and IP protocols.
• Participate and support in the design, optimization, commissioning, or validation of newly procured or existing equipment as the automation lead.
• Consult cross-functionally and assist system owners in process development as the automation subject matter expert.
• Review and approve requirements, specifications, drawings, coding procedures, and guideline.
• Provide technical guidance and train others on systems, software, equipment, machines, procedures, and/or processes.
• Communicate priorities and progress to the team on a continuing basis.
• High technical ability with a troubleshooting approach.
• Identify temporary and permanent fixes to address issues.
• Review and approve documentation needed for the qualification of equipment and processes.
• Author, review, and revise SOPs and specifications to maintain equipment, systems, and/or facilities.
• Ensure proper documentation practices during maintenance processes.
• Recommend and initiate activities to ensure area and equipment are maintained in a state of compliance.
• Assess and implement improvements in productivity, waste generation, quality, and cost.
• Lead and coordinate investigations and studies with little supervision.
• Interact with regulatory agency personnel during audits and inspections.
• Perform quality audits to ensure devices used are in proper working condition.
• Provide 24/7 support to others as part of a rotating on-call support system.
• All other tasks as needed or assigned by the supervisor.

Minimum Qualifications

• Significant experience supporting manufacturing operations in a regulated or cGMP environment
• Experience with the following Automation systems (PLC, HMI, SCADA), including but not limited to Rockwell, Inductive (Ignition), Aveva (Wonderware), Siemens, Emerson (GE), or B&R

Preferred Qualifications

• Bachelor’s degree in Engineering, computer science or a related discipline
• Knowledge of GMP principles, GAMP 5 and ISA standards
• Experience with FactoryTalk Batch, Data Historian systems, and Microsoft SQL database designs

This position may also include the following conditions:
Sitting and working on computers, meeting with stakeholders for design requirements, working with vendors and regulatory authorities, occasionally working on the plant floor and interacting with equipment.

The items described here are representative of those that must be met successfully to perform the essential functions of this job.

Sponsorship or support for work authorization, including visas, is not available for this position.

Resilience is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, physical or mental disability, genetic information, or characteristic, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Requests for reasonable accommodation can be made at any stage of the recruitment process.

Resilience offers employees a robust total rewards program including an annual cash bonus program, a 401(k) plan with a generous company match and our benefits package which is thoughtfully designed to support our employees with great healthcare (including medical, dental and vision), family building benefits, life and disability insurance, paid vacation, paid holidays, other paid leaves of absence, tuition reimbursement and support for caregiving needs. Our target base pay hiring range for this position is $80,000.00 - $121,250.00 per year. Actual base pay is dependent upon a number of factors, including but not limited to, the candidate’s geographical location, relevant experience, qualifications, skills and knowledge. Excited about Resilience? We encourage you to apply and start a conversation with one of our recruiters.

Compensation details: 50 Yearly Salary

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If our name sounds familiar, there’s a reason why. We’re the people behind the iconic Koozie Can Kooler - and more! As one of the largest suppliers in the promotional products industry, you’ve probably seen our work everywhere from your local bank to a large concert or sporting event. We imprint company logos and slogans on everything from pens to coffee tumblers, lunch bags, tech accessories, camp chairs, and award-winning calendars, to name just a few. Our desire to benefit our people, customers, communities, and industry is behind all that we do. We call it Keep It. Give It., and it ensures that we are leaving a positive, lasting impact with the products and solutions we deliver.

We’re looking for the right person to fill this role. Read on if you want to know more and discover how we like to keep the good going !

Hours: Monday - Friday 5:00am - 3:00pm (with flexibility)

Salary: up to $78,000/yr.

Location: Red Wing, MN

Why Join the Koozie Group Team:

• People First culture
• Flexible Schedules
• Climate controlled environment (Clean and Heat/AC )
• Great Benefits (Health, Dental, Vision, 401k with match, and more!)
• Paid Time Off (Vacation, Sick, Personal)
• Tuition Reimbursement
• Advancement Opportunities (as soon as 6 months)
• Employee Referral Bonus Program
• Annual Performance Reviews
• Employee Discount Program

Job Summary for Scheduling & Planning Manager:

The Scheduling & Planning Manager is responsible for analyzing and prioritizing work for manufacturing operations and creating and maintaining production schedules that meet the needs of Koozie Group’s internal and external customers. The Scheduling & Planning Manager contributes to the creation of parts, bills of materials, routings, and manufacturing orders for production processes.

This position also serves as a change leader, driving process improvements and operational efficiencies. Key areas of impact include capacity planning, work-in-process (WIP) levels, on-time, in-full (OTIF) delivery, material waste reduction, and overall operational performance.

The Scheduling & Planning Manager collaborates cross-functionally with Sales, Marketing, Purchasing, Customer Relations, and Operations to ensure alignment, effective communication, and minimal disruption to customers and the business.

Duties & Responsibilities for Scheduling & Planning Manager:

• Create and manage production schedules based on sales activity and forecasts to meet internal and external customer needs
• Support production supervisors and managers with scheduling adjustments and order-specific situations
• Evaluate production lead times, determine ship dates, and provide guidance on rush orders, escalations, and large-order planning
• Analyze and prioritize work for manufacturing operations; monitor work center capacity
• Follow all quality, lean, and safety standards
• Develop and maintain a thorough understanding of Koozie Group products and production processes
• Collaborate with supervisors, sales, purchasing, and planning teams to identify and resolve scheduling issues
• Maintain current technical information, department files, records, and custom spreadsheets
• Contribute to the development of parts, bills of materials, routings, and manufacturing orders
• Publish and maintain data to support production execution, including lead time updates and WIP build plans
• Develop and implement manufacturing responses aligned with market demand
• Ensure timely and efficient production of semi-finished goods through detailed planning and execution tracking
• Monitor performance against plans and proactively identify risks related to demand fluctuations
• Maintain strong knowledge of production processes to reduce inefficiencies, minimize waste, and optimize inventory levels
• Lead and manage a team of hourly employees within the Scheduling/Art Processing department
• Ensure accountability by monitoring and managing daily operations
• Assess employee strengths and development areas; create and execute development plans to support growth and advancement
• Consistently model and uphold company policies, practices, and People Powers
• Perform other duties as assigned

Minimum Qualifications for Scheduling & Planning Manager:

Education

• Bachelor’s degree in Business Management, Supply Chain Management, or a related field preferred
• Equivalent experience in production scheduling or manufacturing planning may be considered

Experience

• Experience developing and managing production and master schedules in a manufacturing environment
• Leadership experience managing people
• Sales forecasting experience
• Experience supporting daily production operations

Technical Skills

• Oracle EBS
• Advanced Supply Chain Planning systems
• Lean manufacturing principles
• Strong proficiency in Microsoft Excel, SQL, Access, Smartsheet, and SharePoint

Equal Opportunity Statement

Our customers come from all walks of life-and so do we. We hire great people from a wide variety of backgrounds because it strengthens our company. If you share our values and enthusiasm to Keep the Good Going, you will find your place at Koozie Group.

Koozie Group is proud to be an Equal Opportunity Employer. We do not discriminate based on race, age, sex (including pregnancy, childbirth, or related medical conditions), gender, marital status, national origin, ancestry, citizenship status, disability, religion, sexual orientation, gender identity or expression, veteran status, genetic information, or any other protected characteristic under applicable law.

In compliance with the Americans with Disabilities Act (ADA), Koozie Group provides reasonable accommodations to qualified individuals with disabilities and encourages discussion of accommodation needs.

Compensation details: 0 Yearly Salary

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The Senior Marketing Analyst provides analytical support and strategic insights to the Consumer Marketing and Ace Rewards teams. This position will work cross functionally with internal business partners to leverage data and insights to aid in developing strategic Marketing campaigns in order to drive traffic and profitable sales for our retailers. In addition, the analyst is responsible for executing and analyzing Ace Rewards customer loyalty, marketing campaigns and interpreting results. Will be responsible for performing in-depth analyses, interpreting results, leveraging industry knowledge and utilizing historical data to turn insights into action. The Senior Analyst will be able to synthesize data and present the insights story, clearly and concisely.

What You’ll Do

Drive Marketing Strategy and Execution:

• Works independently with the Marketing team to provide analytical support and strategic recommendations for marketing campaigns, brand initiatives, focus categories and promotional efforts.
• Partners with Marketing team to understand category and brand performance as well as the impact on growth in market share.

Results/Analysis/Insights:

• Independently supports analytical needs of business partners by understanding the purpose of the Marketing efforts, provides a forecast or proforma to estimate impact, defines metrics for measurement, reports results in a timely manner and provides strategic recommendations to impact future Marketing efforts.
• Additionally, performs ad-hoc deep dive analyses to uncover trends, areas of opportunity or areas of concern.

Reports/Dashboards/Automation:

• Able to create fully automated reports or dashboards to address business needs.
• Performs deep dive analyses and provides report outs independently.
• Identifies need for automation of repeat requests.
• Educates retailers on key drivers of Ace Rewards success utilizing the Ace Rewards scorecards, the RAD and other ADW reporting metrics.
• Brings new report needs to upper management to drive higher retailer engagement and acceptance.

Data/Tools/Technology:

• Proficient understanding of data structure, tables and fields.
• Proficient understanding of data mining and querying tools.
• Proactively identifies ways to streamline and create data efficiencies with existing technology.
• Develops time saving report improvements leveraging analytical tools such as Alteryx and Microsoft Power BI.
• Identifies opportunities for process improvement. Monitors data for accuracy and ensures results are reported accurately and flawlessly.

Who You Are

You are highly analytical and enjoy transforming complex data into clear, actionable insights. You thrive in collaborative environments and are motivated to drive fact-based decision making that improves marketing performance.

Required Skills

• 5-7 years Marketing / Business Analytics Experience

• Bachelor’s degree in marketing Analytics / Data Science, Math/Stats, MBA a plus

• Analytical, quantitative and critical thinking expertise - SQL Alteryx, Databricks experience a plus

• Fundamental understanding of key financial / retail metrics

• Familiarity with insights and analytic tools and techniques (transactional detail level data, CRM technologies, consumer segmentation/targeting,). Familiarity with various data sources.

• Ability to collaborate and lead effective partner relationships

• Proficient with MS Excel, experience with data mining and query tools, BI reporting tools or CRM tools

• Self-starter, strong drive, highly motivated to make change and bring about fact driven decisions.

• Excellent written / verbal communication skills

Compensation Details:

$88400 - $110700 per year

Why should you join our team?

We live our values - W.E.L.I.G.H.T (Winning, Excellence, Love, Integrity, Gratitude, Humility, and Teamwork). Gratitude. Humility. Love. You don’t often see values like these in most corporate statements, but Ace is different. These things are important to us. They represent our commitment to the company, our employees, to Ace retailers and to the Ace brand.

In addition to providing our employees a great culture, Ace also offers competitive benefits that address life’s necessities and perks, many of which expand and improve year after year, including:

• Incentive opportunities, based on role/grade level (company growth over the past 5 years resulted in incentives being paid out at an average of 122% of your target opportunity!)

• Generous 401(k) retirement savings plan with a fully vested matching contribution the first year in addition to quarterly contributions and annual discretionary contribution (once eligibility requirements have been met). Over the past 5 years, company contributions (matching, quarterly & discretionary) for fully eligible employees have averaged 10% of total eligible compensation

• Comprehensive health coverage (medical, dental, vision and disability - up to 26 weeks short-term disability and long-term disability) & life insurance benefits for you and your dependents

• 21 days of vacation immediately available (prorated in the first year) and up to 6 paid holidays depending on the month of hire

• Company Car, phone and fuel card are provided for field-based positions

• Your career at Ace is more than just a job. It’s a chance to be part of something meaningful. We help locally-owned businesses thrive and make an impact in their communities - and we support our employees in doing the same by offering an annual Ace Cares Week, 20 hours off work per year to volunteer at an organization of your choice, opportunities to help Children’s Miracle Network Hospitals and the Ace Helpful Fund through the Ace Foundation

• Ace invests in every employee we hire, with a key focus on development and coaching. We offer on-site classes, facilitator-led courses, and a generous tuition assistance program, plus a performance management approach that goes beyond the typical annual review

• We know the work environment matters. That’s why Ace holds frequent campus events like Employee Appreciation Week, vendor demos, cookouts, and merchandise sales

• We bring them to you! Services such as mobile spas, auto maintenance, car wash and detailing, dry cleaning, dentists, eye doctors, flu shots, recycling and more!

• Employee discounts on Ace merchandise (including top brands like Weber, Traeger, Yeti, Craftsman, DeWalt and more), travel, fitness, computers and thousands more

• Birth/Adoption bonding paid time off

• Adoption cost reimbursement

• Employee Assistance Program (EAP) - access to free visits to therapists and lawyers, guidance on financial matters, elder and childcare, and assistance with tickets to entertainment events

• Identity theft protection

Benefits are provided in compliance with applicable policies.

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We want to hear from you!
When most people think of career opportunities with Ace Hardware, they often think of the helpful cashiers and sales associates at their local store. However, have you also considered the people behind the scenes who select, promote, ship and process the invoices for more than 75,000 products? Maybe you haven’t, but we’d like you to. Because together we help our customers take care of their homes. Come find out why a career with the Ace Hardware Corporation is one of America’s best kept secrets.

Equal Opportunity Employer
Ace Hardware Corporation is committed to a policy of promoting equal employment opportunities. The company recognizes the importance of diversity and leveraging the skills and talents of all people to the mutual advantage of each individual and the organization. The company is committed to the prevention of employment discrimination related to race, religion, color, sex (including sexual harassment), gender identity, national origin, age, marital status, disability and military or veteran status, sexual orientation or any other action covered by federal or applicable state/local laws.

Disclaimer

The pay range for this position starts as listed in the job posting, but could be higher based on education and experience. Please note, compensation decisions are dependent on the facts and circumstances of each opening. We take into consideration the minimum requirements outlined in the job description, such as an individual’s education, training and experience, the position’s work location, required travel (if any), and external market conditions when determining the final salary for potential new hires.

Be aware that salary estimates published via alternate online job boards may not be a true representation of the actual pay range offered for this position. Please refer to the Ace position description for the accurate starting pay range information and feel free to discuss this with a Talent Acquisition professional if you are chosen to move forward with an interview.

This written “Position Description” is not intended to cover all aspects of the position listed. It is meant to cover the basic/general essential job functions of a particular position. Ace Hardware Corporation reserves the right to change job duties, including essential job functions, according to business necessity.
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Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do:

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

• Bachelor’s Degree
• At least 4 years of professional software engineering experience (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

• Master’s Degree
• 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
• 2+ years of experience with AWS, GCP, Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 1+ years of people management experience
• 2+ years of experience in Agile practices

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $193,400 - $220,700 for Lead Software EngineerPlano, TX: $175,800 - $200,700 for Lead Software EngineerRichmond, VA: $175,800 - $200,700 for Lead Software Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).