The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

• 5+ years of experience with data analysis such as recognizing and investigating data quality and various data types, including discerning structure and relationships within data
• 5+ years of experience with data visualization such as creating charts with basic design principles
• 5+ years of experience with data pipeline engineering such as executing data transformation stages
• 4+ years of experience with programming languages, including Python, R, or SQL, for data manipulation and analysis
• Experience working in Foundry, including building or maintaining data pipelines with Code Repository
• Knowledge of database-driven application development and design
• Ability to develop and maintain interactive dashboards and visualizations in Foundry, Power BI, Tableau, or Qlik to communicate data insights to business stakeholders
• Ability to collaborate with business analysts or users to clarify requirements, work closely with different business groups to comprehend and resp ond to their reporting and dashboard needs, and be self-motivated
• Secret clearance
• Bachelor’s degree in CS, Data Science, or Computer Engineering

Nice If You Have:

• Experience with analytics and data science techniques, including AI or ML
• Experience with DoD clients
• Experience with Army data systems
• Knowledge of front-end design and data visualization techniques and best practices
• Knowledge of military terms
• Ability to learn technical concepts quickly and communicate with multiple functional groups
• Ability to pay strict attention to detail
• Possession of excellent verbal and written communication skills
• Possession of excellent analytical, problem-solving, and critical thinking skills
• Master’s degree in CS, Data Science, Computer Engineering or a related field

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 $99,000.00 to $225,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

At Enact, we understand that there’s no place like home. That’s why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there.

We’re looking for a AI Cloud Engineer in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement, and connection. In this role, you will you’ll design, build, and operate AI solutions on AWS. You’ll play a key role in operationalizing AI at scale, working across the organization with data scientists, data engineers, and product teams to deliver high-impact GenAI solutions.

The ideal candidate has a proven track record of building and operating scalable and secure cloud infrastructure on AWS.  Their background includes automating infrastructure using Infrastructure as Code (IaC) and implementing robust CI/CD pipelines.  They thrive in cross-functional environments, delivering end-to-end GenAI and cloud solutions.

LOCATION
Enact Headquarters, Raleigh, NC – Hybrid Schedule

YOUR RESPONSIBILITIES

• GenAI Platform Enablement: Support the development, implementation, scalability and operations of enterprise-grade GenAI platforms.
• Engineering: Engineer robust, secure, governed, and re-useable GenAI capabilities and patterns across the business by leveraging best-practices in architecture, automation, and DevOps.
• Collaboration: Contribute to the development and engineering of internal tools, APIs, and infrastructure to streamline adoption of GenAI services across the organization
• Observability & Quality: Implement end-to-end monitoring, alerting SLA/SLOs, metrics, and cost
• Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
• Partner & Mentor: Collaborate with on-shore/off-shore teams; work with key stakeholders on packaging, testing, and performance; contribute to standards and reviews.
• Hands-on Delivery: Prototype new patterns and solutions; troubleshoot production issues across data, model, and infrastructure layers.

YOUR QUALIFICATIONS

• Bachelor’s degree in computer science, information technology, cloud engineering or similar field
• 5+ years experience in AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF, Bedrock.
• 5+ years experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
• 3+ years experience with IaC & Platforms: Terraform (preferred), parameterized modules, environment promotion, tagging, and cost governance.
• 3+ years experience in Python, JSON, bash; strong containerization with Docker.
• Proven ability to perform Unit/integration tests for accuracy, KPIs, usage metrics, adoption.
• Demonstrated operational mindset with experience in incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
• Clear communication, collaborative mindset, and a bias to automate & document.
• Experience with resilient application design and secure coding practices.
• Experience using test-driven (TDD) or behavior driven (BDD) development.

PREFERRED QUALIFICATIONS

• Experience with enterprise-grade GenAI platforms such as AWS Bedrock (Anthropic Claude), MS Azure AI Services (OpenAI/ChatGPT)
• Experience adhering to and implementing data security and governance best practices in a highly regulated environment (encryption, RBAC, auditing, regulatory standards – HIPAA, SOC2, etc.)

COMPANY
Enact Holdings, Inc. (Nasdaq: ACT), operating primarily through its wholly owned subsidiaries, is a leading publicly traded U.S. private mortgage insurance provider, offering borrower-centric products that enable lenders and other partners across the U.S. to help people responsibly achieve and maintain the dream of homeownership.

By empowering customers and their borrowers, Enact seeks to positively impact the lives of those in the communities in which it serves in a sustainable way. Headquartered in Raleigh, North Carolina, we play an active role in supporting a prosperous Triangle community. We also support our colleagues’ philanthropic efforts in their home communities across the U.S. Enact values all perspectives, characteristics and experiences, along with providing a positive and inclusive culture for employees to grow and succeed. We strive to create an environment where employees can bring their full, authentic selves to work to help each other and their customers.

We are proud to be an equal opportunity employer and all hiring decisions are based on merit, qualifications, and business needs. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

WHY WORK AT ENACT

• We bring innovative thinking to the situations at hand
• We seek out and incorporate diverse views to strengthen our outcomes
• We work on challenging and rewarding projects
• We offer competitive benefits:
  • Hybrid work schedule (in-office days Tues/Wed/Thurs)
  • Generous Time Off
  • 40 Hours of Volunteer Time Off
  • Tuition Reimbursement and Student Loan Repayment
  • Paid Family Leave and Flexible Spending Accounts
  • 401k with up to 5% employer match
  • Fitness and Emotional Wellness Reimbursements
  • Onsite Gym

Description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

The National Security Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. In this role, you will work alongside various business process stakeholders and application developers to provide data necessary for decision support tools across an array of operational functions. The ideal candidate will have solid core skills and proven history in implementing appropriate modeling and data science strategies required to address customer needs. This role requires a strong foundation in Data Science concepts, Python programming experience, and the ability to work in fast-paced collaborative development teams.

Primary Responsibilities

• Conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to transform data into narrative products for informed decision making.
• Designing and building data management systems, collaborating with data users to optimize architectures and systems.
• Selecting and configuring backend database technologies and optimizing scalable, efficient data pipelines to ingest, process, and transform structured and unstructured data infrastructure for intelligence needs.
• Implementing automated processes for integrating various datasets, conducting scalable data research, and developing scripts to handle data efficiently.
• Collaborating with collection managers and computer scientists to design new data processes and generate algorithms for automated collection strategies
• Participating in briefings, meetings, conferences, and working groups to provide advice and resolve issues as requested by the Government.
• Support multiple simultaneous projects and take open-ended or high-level guidance, independently and collaboratively make discoveries that are mission-relevant, and package and deliver the findings to a non-technical audience.

Basic Qualifications

• Bachelors degree and 6-8 years of relevant experience in Statistics, Mathematics, Data Analytics, or a related analytical field
• US Citizen
• Ability to get/maintain Public Trust clearance
• Strong understanding of data modeling, data warehousing, and database design principles
• Skilled in relational databases, SQL, and API-based data querying
• Experience developing predictive algorithms, image classifiers, object detectors, and others
• Proficiency in data visualization and graphical applications (PowerBI, etc)
• Experience with major data science languages such as R and Python
• Ability to manage and merge disparate data sources using R, Python, or SQL

Preferred Qualifications

• Exceptional coordination and collaboration skills
• Track record of active learning and creative problem solving
• Familiarity using GIT, SVN, Jira, or other version control technologies
• Experience with Azure cloud data analytics tools

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:

October 20, 2025

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.

#Remote

Description

The NISC IV group at Leidos currently has an opening for a Data Systems Support Analyst to work in our Oklahoma City, OK office.  This is an exciting opportunity to use your experience helping the National Airspace System (NAS) Second Level Engineering group.

We are seeking skilled and detail-oriented Data Systems support to assist Aeronautical Information Services (AJV-A) in maintaining critical office operations to aid in the development and maintenance of the National Airspace System. In addition, this support is needed to assist Aeronautical Information Services (AJV-A) in its mission to develop tools which will assist the customer in the creation, maintenance, and distribution of aeronautical data and associated products for air traffic control and the flying community.

You must be a US citizen or a per

Primary Responsibilities:

• Support will be provided by Creating data-driven applications that support aeronautical information distribution to customers.
• Performing ad hoc software development to assist the Aeronautical Data Team in addressing the needs of special projects.
• Performing ad hoc software development to customize/configure COTS applications being deployed by the Aeronautical Data Team.
• Performing ad hoc software development to replace or augment existing legacy software applications that need technology refreshment.
• Assisting Aeronautical Information Services (AJV-A) in evaluating and testing COTS applications prior to deployment.
• Assisting Aeronautical Information Services (AJV-A) in creating new workflows for Aeronautical Data Team projects.
• Assisting in the gathering of user requirements for new projects. Document: applications; code; database structure; process methods; and system architecture as needed.

Basic Qualifications:

• Bachelor’s Degree with at least 2 years of working experience.  In lieu of degree program, Leidos will accept additional years of experience.
• Experience with SQL databases and SQL script
• Experience with C++
• Able to receive and maintain public trust clearance (**To be eligible for Public Trust Security Clearance, one must be either a U.S. Citizen OR a U.S. Permanent Resident/Green Card holder who has resided in the U.S.A for the past 3 years.**)

Preferred Qualifications:

• Previous FAA experience.
• Geographic Information Systems (GIS) knowledge
• Experience with ESRI databases and software

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:

March 24, 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 $57,850.00 - $104,575.00

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

Position: Cloud Developer

Location: Melbourne, FL (Patrick SFB)

Make an Impact with Leidos

At Leidos, we deliver innovative solutions through the dedication of our diverse and talented teams. United by a shared commitment to our customers’ success, we empower our people, support our communities, and operate sustainably. Our Mission, Vision, and Values guide every aspect of our work, ensuring we do the right thing—for our customers, our people, and the world around us.

Thrive in an Impactful Environment

The Leidos Defense Sector offers a broad portfolio of systems, solutions, and services across land, sea, air, space, and cyberspace. We support critical defense missions with capabilities in enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence operations. Our teams tackle the world’s toughest security challenges for customers with “can’t fail” missions.

Leidos Defense Sector is seeking an Cloud Developer to join our engineering team to design, build, and maintain scalable cloud-native solutions. The ideal candidate combines strong serverless development skills (Lambda, API Gateway, Step Functions), hands-on data engineering experience (ETL/ELT, streaming, data lakes), and expertise with XML transformation tools. This role partners with product, and data teams to deliver reliable, performant systems to mobilize trusted data for customer services.

Primary Responsibilities:

• Design, develop, and deploy cloud‑native applications and microservices on AWS using serverless and container‑based architectures
• Implement, maintain, and optimize XML transformation workflows using tools such as XSLT, Apache DFDL, Saxon, or Altova MapForce
• Build and maintain data ingestion, transformation, and storage pipelines (batch and streaming) to support analytics and ML workloads
• Develop APIs and backend services using serverless frameworks (Lambda, API Gateway) and event‑driven architectures (SNS, SQS, EventBridge, Kinesis)
• Collaborate with data engineers to model, optimize, and operationalize data workflows across S3, Glue, Redshift, Snowflake, and related platforms
• Automate infrastructure provisioning and deployments using IaC tools (CloudFormation, Terraform, CDK) and CI/CD pipelines
• Monitor, troubleshoot, and optimize system performance, cost, and reliability; implement observability using CloudWatch, X‑Ray, Prometheus/Grafana
• Apply security best practices across the stack (IAM, KMS, VPC, encryption, least privilege) and ensure compliance with DoD security policies
• Produce and maintain documentation, runbooks, and code reviews; participate in post‑incident reviews
• Support on‑call rotation and occasional after‑hours work as needed

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related disciple with 4+ years of relevant experience. Additional experience, training, or certifications may substitute for degree
• U.S. citizen; Currently possessing an Active DoD Top Secret clearance and eligibility for Top Secret/SCI
• IAT Level II certification (e.g., CompTIA Security+) or ability to earn within 6 months of hire
• 2+ years of hands‑on AWS experience (Lambda, API Gateway, S3, IAM, RDS/DynamoDB, VPC, CloudWatch)
• Strong programming skills in at least one serverless‑friendly language (Python, Node.js/TypeScript, Java, or Go)
• Experience building data pipelines and working with data stores (S3, Redshift, DynamoDB, RDS)
• Familiarity with IaC tools (Terraform, CloudFormation, CDK) and CI/CD pipelines
• Hands on experience with code repositories such as Git, GitLab, GitHub
• Knowledge of RESTful API design, event‑driven architectures, and asynchronous processing
• Experience with observability and troubleshooting in production environments

Preferred Qualifications:

• Experience with streaming technologies (Kinesis, Kafka, Glue Streaming)
• Hands‑on experience with Apache NiFi, including custom processors, flow versioning, and integration with Kafka, HDFS/S3, and downstream ETL systems
• Familiarity with serverless orchestration (Step Functions) and workflow automation
• AWS certifications (Developer, Solutions Architect, or Data Analytics)
• Experience with containerization and orchestration (Docker, EKS)
• Strong understanding of security and compliance controls for cloud data systems
• Experience with AI tooling such as Bedrock, SageMaker, Q, etc.
• Experience with Hashicorp
• Excellent communication skills and ability to work cross‑functionally

Ready to make an impact? Start your meaningful career journey with Leidos—submit your resume today!

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 27, 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.

Description

Leidos is seeking a Software Engineer / Data Science Librarian to manage and optimize databases supporting GEOINT product dissemination and to process expurgation requests for distributing discrete geospatial product packages to internal and foreign partners. This role is responsible for maintaining, enhancing, and ensuring the accuracy of spatial content databases—including country and state boundary generation—using NGA tools, ESRI ArcGIS, and related technologies. The ideal candidate brings strong experience in coding/script development, database management, geospatial components, and software engineering to ensure seamless data integrity, automation, and efficient dissemination.

This position requires a highly collaborative professional capable of working across multiple offices, maintaining and enhancing ingest and validation scripts, and supporting end‑to‑end software operations related to GEOINT product dissemination. Experience operating across multiple security domains is highly desirable. The role also demands strong public‑speaking skills and the ability to represent the organization in customer‑facing technical discussions and stakeholder engagements.

Primary Responsibilities:

Database Management & Spatial Content Generation

• Manage and maintain databases supporting GEOINT product dissemination, including spatial content and country/state boundary generation.
• Develop, optimize, and enhance data ingest and validation scripts, stored procedures, and code to ensure accuracy and efficient processing.
• Integrate and optimize geospatial components such as Oracle Spatial, ArcSDE, and SDO_Geometry to improve data integrity and visualization.
• Utilize Unix/Linux commands and file systems; write shell scripts, cron jobs, and manage file/folder permissions.

Software Engineering & Automation

• Maintain and enhance Perl scripts, Java and Python code packages, and database constructs to improve automation and efficiency.
• Develop and maintain schemas, stored procedures, and validation tools to ensure reliable GEOINT product integration.
• Troubleshoot and resolve software and database issues related to content dissemination, ensuring high availability and data integrity.
• Render maps in ESRI ArcGIS using data queries and apply layers within the mapping environment.

Collaboration & Cross‑Domain Support

• Work across multiple offices and security domains (NIPRnet/Xenon, SIPRnet, JWICS) to ensure secure and seamless data integration.
• Engage with stakeholders, product owners, and data users to optimize data structuring, usability, and distribution.
• Support end‑to‑end operations for software and database systems related to GEOINT product dissemination.
• Serve as the primary point of contact for customer briefings and technical discussions.

Public Speaking & Customer Engagement

• Develop and deliver presentations, briefings, and reports to customers, stakeholders, and senior leadership.
• Represent the organization confidently in customer‑facing engagements, communicating technical concepts effectively.
• Facilitate knowledge‑sharing sessions and training for internal and external stakeholders.

Basic Qualifications:.

• Bachelors degree and 8+ years of prior relevant experience or Masters with 6 +years of prior relevant experience. May possess a Doctorate in technical domain.
• Top Secret Clearance to be considered and ability to obtain post hire a TS/SCI with Polygraph.
• 5+ years of experience designing and supporting databases.
• Strong experience with one or more of the following: Perl scripts, Python/Java code packages, SQL queries, C++ code, database constructs, schemas, and stored procedures.
• Strong knowledge of database management with geospatial components.
• Proven ability to optimize and automate data ingest, validation, and dissemination workflows.
• Understanding of cross‑domain data management and security protocols (NIPRnet/Xenon, SIPRnet, JWICS).
• Strong public‑speaking skills and experience delivering technical briefings.
• Security+ certification.
• Ability to engage across multiple offices to ensure database alignment with GEOINT product requirements.
• Strong problem‑solving skills with the ability to troubleshoot complex software and database issues.
• Excellent communication and collaboration skills within cross‑functional teams.
• Comfortable speaking with customers and stakeholders, ensuring clarity and transparency.
• Understanding of data integrity, validation concepts, and data‑sharing agreements.
• Familiarity with Agile methodologies and project management structures.

Preferred Qualifications:

• Experience working in government, defense, or intelligence environments.
• Familiarity with cloud and on‑prem GIS/GEOINT database solutions.
• Competency in ESRI ArcGIS for querying spatial data and applying multiple map layers.
• Experience supporting software operations and maintenance for GEOINT content expurgation/dissemination.
• Knowledge of automation frameworks and DevSecOps best practices.
• Certifications in Database Management, GIS, or Software Engineering.
• Prior experience leading technical discussions and customer briefings.

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 10, 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

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/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, so others are able to understand and use it.  Also, work closely with data scientists to craft data pipelines which serve the development of modern AI/ML workflows
• Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods
• Effectively articulating the risks and constraints associated with software solutions, based on 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 (e.g. Python, Java) coupled with significant SQL/database experience.
• 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, and experience with RESTful APIs.
• Experience with data pipelining systems (e.g. Apache Airflow) and developing/performing ETL tasks in a Linux environment.

Preferred Qualifications:

• Experience deploying systems that leverage AI/ML technology
• Experience publishing results in BI dashboards.

Clearance Requirements:

• An active TS/SCI with Polygraph

Physical Requirements:

• Use hands to operate a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.
• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Must be able to remain in a stationary position 50% of the time

What We Offer: Novant Health is hiring the Operating Room Assistant Nurse Manager for the Day shift for our New Hanover Regional Medical Center location in Wilmington, NC.

Schedule: Full-Time, 80 Hours per 2 weeks, Night Shift, 7:00am-5:00pm

Registered Nurse License and Operating Room experience is required.

For more benefit information, please visit our website here: style="margin: 0px;" About the Operating Room Department: We’re seeking a registered nurse to join our specialized healthcare team, renowned for our exceptional patient care and innovative approach. Our supportive culture ensures a fulfilling work experience.   A Clinical Coordinator is a Registered Nurse who functions as a role model, facilitator, mentor and coach for all clinical and support staff. Helps coordinate work shift activities in the clinical area. Assists the Nurse Manager with continuous quality improvement, personnel utilization, performance appraisals, resource usage and budget management, and maintenance of standards of care. Able to provide care to patients on designated units. Graduate of an accredited school of nursing, either through an AD, Diploma or BSN program.

Experience: 5 years Nursing experience, required.

Current RN licensure in appropriate state, required.

The Opportunity:
Booz Allen is seeking a Data Engineer or Data Scientist to support mission-critical projects leveraging Palantir Foundry. In this role, you will work closely with stakeholders to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. You’ll contribute to the full software development lifecycle, from requirements gathering to deployment and maintenance.

What You’ll Work On:

• Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
• Build modular applications and workflows leveraging TypeScript, Python, and Foundry AIP.
• Collaborate with data engineers, analysts, and mission stakeholders to refine data models and ontology mapping.
• Utilize code repositories such as Git to manage and version control development efforts.
• Assist in Foundry workshops to guide stakeholders through platform capabilities.
• Support testing, debugging, and performance tuning of Foundry applications.
• Work in Agile development environments, contributing to sprint planning and retrospectives.

Join us. The world can’t wait.

You Have:

• 1+ years of experience with Palantir Foundry
• Experience with Python or TypeScript
• Experience with Pipeline Builder, AIP, and Foundry’s application development ecosystem
• Experience with Git-based code repositories and CI/CD workflows
• Ability to work in fast-paced, Agile environments
• Secret clearance
• Associate’s degree and 1+ years of experience with data engineering, including application, or software development in a professional work environment, or 3+ years of experience with data engineering, including application, or software development in a professional work environment in lieu of a degree

Nice If You Have:

• Experience with the DoD
• Experience working with Maven Smart Systems and Foundry AIP
• Experience working with SharePoint, Dataverse, and Microsoft Power Platform
• Experience working in mission-oriented analytics or logistics-based data environments
• Experience with data modeling, ontology mapping, or data visualization within Foundry
• Knowledge of DevSecOps best practices and software lifecycle methodologies
• Possession of excellent problem-solving skills

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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.

As a Data Engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:

• 5+ years of experience with designing scalable data systems and infrastructure
• Experience with source control and collaboration sof tware, including Git or Atlassian tools
• Experience with ETL operations, including on-premises or Cloud infrastructure
• Experience with writing sof tware in programming languages, including Python
• Knowledge of relational and non-relational database technologies, including SQL or GraphQL
• Knowledge of automation and scripting on Linux or Windows operating systems
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience deploying analytics work load s on a platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service
• Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA
• Experience with infrastructure as code frameworks and services, including Terraform or CloudFormation
• Experience developing and presenting complex technical information for technical and non-technical audiences and senior leaders
• Experience developing and deploying large-scale batch and stream analytics pipelines
• Experience working with integrated groups comprised of customer success managers, infrastructure engineers, data scientists, and sof tware engineers
• Experience with DoD information systems
• Master’s degree in Computer Science, Computer Engineering, Mathematics, Data Science, Sof tware Engineering, Electrical Engineering, Physics, or a related field
• Cloud Development Certification , including AWS Solutions Architect, or Azure Certification
• Information Security Certification , including Security+ or CISSP 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 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 $99,000.00 to $225,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, 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 use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Join us. The world can’t wait.

You Have:

• 5+ years of experience in cybersecurity, systems architecture or software engineering, and AI/ML solution design
• 4+ years of experience supporting DoD, Intelligence Community, or federal civilian missions
• 2+ years of experience designing, deploying, or securing AI/ML pipelines, such as training, inference, or monitoring
• Experience with LLM platforms and APIs, such as OpenAI, Anthropic, Azure Open AI, or AWS Bedrock
• Experience with Machine Learning frameworks, such as TensorFlow, PyTorch, Scikit-Learn, or Hugging Face
• Experience with Machine Learning orchestration and serving platforms, such as SageMaker, Vertex AI, MLflow, or Kubeflow
• Experience implementing AI security controls, such as data provenance, model integrity, and supply chain, and integrating AI into operational workflows, such as SOC automation, threat detection, and analytics
• Knowledge of AI governance, DoD Responsible AI, and federal compliance
• TS/SCI clearance
• HS diploma or GED

Nice If You Have:

• Experience operating in IL5, IL6, or IL7 environments
• Experience developing AI-enabled defensive cyber capabilities, such as automated triage, detection engineering, or autonomous response
• Experience securing large language models, RAG architectures, or agentic AI systems
• Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring
• Experience with stream processing platforms, such as Cribl, Kafka, or Flink for real-time AI data ingestion
• Experience with data governance for AI training data in multi-classification or coalition environments

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

We are looking to add a talented, ambitious, and results-oriented individual to our team as a Business Intelligence Engineer. As part of our team, the individual will have the opportunity to harness the power of data to drive business growth and informed decision-making. The ideal candidate for this role will strive to become an expert in our ERP software, Microsoft Fabric, Power Automate, Power Apps, and PowerBI providing actionable data insights and improved data accessibility. This role can be remote; the qualified candidate can live anywhere in the contiguous United States.

The Business Intelligence Engineer will support the continuous development of our analytics capabilities by specializing in last-mile pipeline development within Microsoft Fabric. In this role you will play a crucial role in enabling data visualization in PowerBI and enhancing productivity through the development of Power Automate workflows and Power Apps. As a key member of our BI team, you will collaborate closely with stakeholders across the organization to design, implement, and optimize data pipelines and solutions that drive business value.

This position can be based anywhere in the US near any major airport.

Responsibilities:

• Architect, implement, and maintain last-mile data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from diverse sources into PowerBI, Power Automate, and Power Apps.
• Create visually compelling and insightful dashboards and reports in PowerBI that provide actionable insights to stakeholders across the organization.
• Design and build custom Power Automate/Power Apps solutions to address specific business needs, enhance user experience, and drive user adoption of data-driven applications.
• Integrate machine learning models into data pipelines and frameworks, enabling predictive analytics and advanced insights.
• Implement data quality checks and ensure adherence to data governance standards throughout the data pipeline, from source to visualization.
• Continuously monitor and optimize the performance of data pipelines, PowerBI reports, Power Automate workflows, and Power Apps solutions to ensure optimal efficiency and reliability.
• Provide training sessions and user support to help stakeholders effectively utilize BI tools and applications. Address user feedback and iterate on solutions to improve usability and adoption.
• Work closely with cross-functional teams, including business users, data engineers, and IT professionals, to understand requirements, gather feedback, and deliver solutions that meet business objectives.
• Document data pipelines, workflows, and applications, and share best practices and insights with team members to foster a culture of learning and continuous improvement.
• Strong interpersonal and communication skills and the ability to work effectively within teams.
• Proficiency in DAX, SQL, Power Query M, and familiarity with other programming languages (e.g., Python) is a plus.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Requirements:

• BS/BA is required. Masters is a plus.
• +2 years of business intelligence, data gathering, or related experience with a focus on Microsoft technologies is preferred.
• Proven track record of simplifying large, complex problems with multiple data sources & techniques to reveal data-driven insights & actionable solutions that drive business results.
  • Minimal travel for training or other business needs may be required.

Salary Range: $85,000 - $105,000 annually based on education, experience and geographic location.

Bonus potential: 10%

The perks of being a Bunzl team member don’t stop at being part of a great team or being valued as our #1 asset. We offer a full range of benefits to help our employees take care of themselves and their families today, tomorrow and for the future.

• Medical, dental, vision, and life insurance available to employees and eligible dependents starting the first day of the month after 30 days of employment (unless otherwise specified by a collective bargaining agreement).
• 401(k) retirement plan with a generous company match of $0.75 per $1.00 contributed, up to 6% of eligible pay, available after 30 days.
• Paid time off, including (Pro-rated based on hire date):

• 10 vacation days and 2 personal days annually (prorated in the first year based on hire date).
• 40 hours sick for exempt | 56 hours sick for non-exempt per year, in accordance with Washington State law.
• 6 paid national holidays and 2 floating holidays

• Please refer to the Benefits & Perks section on our career webpage for more details

Bunzl accepts ongoing applications for 10 days.

Bunzl is a global leader in the Cleaning & Hygiene, Food Processing, Grocery, Health Care, Non‑Food Retail, and Safety industries. We have grown both organically and through acquisitions to exceed $10 billion in sales. Headquartered in St. Louis, Missouri, Bunzl North America operates more than 100 warehouses and serves all 50 states, Puerto Rico, Canada, and parts of the Caribbean and Mexico. With more than 10,000 team members and over 400,000 supplies, Bunzl is recognized as a leading supplier across North America—and proudly certified as a Great Place to Work®. At Bunzl, you’ll find Unlimited Potential… your career, our future.

Click here to view the California Employee/Applicant Privacy Policy

Bunzl Distribution offers competitive salaries, a comfortable work environment, and a full range of benefits including a 401k with a company match.

Bunzl Distribution has a tradition of commitment to equal employment opportunity. It is the established policy to attract and retain the best qualified people without regard to race, color, religion, national origin, sex/gender (including pregnancy), sexual orientation, age, disability or veteran status as provided by law.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Ameritas Life Insurance Corp is looking for a Data Analytics – Business Intelligence Intern to drive the business by providing internal business stakeholders with valuable data analytics and dashboards to better enable them to meet business needs.

At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services.

This internship will start in January 2026. This is a hybrid role offered in either Lincoln, NE or Cincinnati, OH.

What you do:

• Process and analyze datasets to support business stakeholders.
• Develop and maintain reports and dashboards using Business intelligence tools like Power BI and Cognos
• Collaborate with cross-functional teams to understand data needs, use cases and propose solutions.
• Troubleshoot and resolve data issues as they arise.
• Collaborate with  Data Engineering and IT admin teams as needed to ensure data and reporting tasks are completed on time.
• Contribute to the documentation of processes and procedures.

What you bring:

• Must be enrolled in a college program at least half-time as defined by your institution for the entire duration of the internship studying computer science, data science, data analytics or related field.
• Able to commit to a long-term internship working full-time in the summer and part-time during the school year.

• Full-time hours: 30-40 hours per week
• Part-time hours: 15-20 hours per week

• Consistently demonstrates initiative and a professional, self-directed approach to responsibilities and an ability to meet deadlines.
• Has taken coursework related to data management, databases, AI/Machine Learning, and similar subject matter.
• Approaches situations with a natural curiosity and has a willingness to learn new tools and technologies.
• Excellent verbal and written communication and presentation skills.
• Keen analytical skills and problem-solving skills.
• Extremely strong PC and Excel skills. Intermediate to advanced experience with SQL is a plus, but not a requirement.

What we offer:

• Our company motto is “Fulfilling Life” and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future.
• Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers.
• We’re committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities.

An Equal Opportnity Employer

Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we’re committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.

Pay:

$13.33

$26.67

Company: Tampa Brass & Aluminum Corp.
Employment Type: Full-time

About Us

Tampa Brass & Aluminum Corp. is a leading manufacturer specializing in high-quality brass and aluminum castings for a variety of industries. We pride ourselves on innovation, precision, and a strong commitment to our employees. We are seeking a dedicated and knowledgeable HR Generalist to join our team and support our growing organization.

Position Overview

The HR Generalist will be responsible for a wide range of human resources functions, including employee relations, benefits administration, compliance, and HR policy enforcement. This role will work closely with management to ensure a positive work environment and compliance with all applicable labor laws and company policies. When needed, the HR Generalist may also assist in recruiting efforts to support staffing needs.

Key Responsibilities

• Serve as a point of contact for employee questions regarding HR policies, benefits, and payroll
• Administer benefits programs and coordinate open enrollment
• Maintain and update employee records in compliance with state and federal regulations
• Support performance management processes and assist with employee evaluations
• Ensure compliance with OSHA, EEOC, FMLA, and other employment laws and regulations
• Handle employee relations matters with confidentiality and professionalism
• Assist in developing and implementing HR policies and procedures
• Coordinate training and development programs to support employee growth
• Provide assistance in recruiting activities when requested by management

Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or related field preferred
• 2+ years of experience in an HR Generalist or similar HR role
• Knowledge of federal and Florida employment laws and HR best practices
• Strong interpersonal and communication skills
• Proficiency in Microsoft Office Suite; experience with HRIS systems preferred
• Ability to handle sensitive information with confidentiality and discretion

All the Benefits and Perks You Need for You and Your Family

• Competitive wages (depending on experience)
• Health, dental, vision, life, and disability insurance
• 401(k) with company match
• Professional development opportunities

Our Promise to You

Being part of Tampa Brass & Aluminum Corporation means joining a team driven by precision, innovation, and excellence. You’ll contribute to industries that shape the future—defense, aerospace, and industrial markets—while upholding the highest standards of quality. Here, your skills, dedication, and unique expertise are valued. Together, we’re more than just a manufacturing company—we’re a team committed to pushing boundaries, delivering excellence, and making an impact.

Work Environment & Schedule

• Standard schedule: Monday to Thursday, 10-hour shifts
• Flexibility required for Fridays and weekends based on production needs

Equal Opportunity Employer

Tampa Brass & Aluminum Corporation is an equal opportunity employer. We do not tolerate discrimination based on race, color, creed, religion, national origin, sex, marital status, age, or disability/handicap in any aspect of employment including recruitment, selection, placement, promotion, wages, benefits, or other conditions.

How to Apply

Interested candidates should submit their resume and cover letter to Mariel Soto at [email protected] with the subject line: HR Generalist Application – [Your Name].
You can also apply directly through here BuildSubmarine.com.

Description

Leidos has a new and exciting opportunity for a Data Scientistin our Intel Sector Analysis Solutions Business Area (ASBA).  Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.  Join us and make a difference in Analysis Solutions Business Area!

Job Summary:

We are looking for a Data Scientist with an entrepreneur’s mindset to support a fast-paced and growing data science team working on projects critical to National Security.

Responsibilities Include:

• Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges.
• Construct and execute complex database search queries across multiple databases using SQL and API interfaces.
• Perform web scraping and apply various techniques for processing unstructured data.
• Leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
• Learn and leverage technologies including AWS and Git.

Basic Qualifications:

• Must have TS/SCI with Polygraph.
• BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience. May possess a Doctorate in technical domain…
• Experience with Python is required.
• Strong SQL skills and experience with relational databases and APIs for data extraction is required.
• Experience with supervised and unsupervised learning and natural language processing (NLP) is required. Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow).
• Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods.
• Proficiency with data visualization tools (e.g., Tableau, Plotly, Seaborn, Matplotlib) is required.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today.

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 10, 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.

Corporate Headquarters

12575 Uline Dr. Pleasant Prairie, WI 53158

Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for improvements regarding manual processes to thinking critically about various issues, your skills will help shape our growing company’s future!

Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.

Position Responsibilities

• Analyze current manual processes for improvement opportunities.
• Define problem scope and think critically about potential solutions.
• Develop process-improvement solutions that make use of Excel / VBA to automate procedures.

Minimum Requirements

• Bachelor’s degree.
• Strong analytical skills with attention to detail and accuracy.
• Adept at creating queries, writing reports and presenting findings.
• Strong SQL skills a must.
• VBA (or similar) programming knowledge required.
• Robotic Process Automation (RPA) experience strongly preferred.

Benefits

• Complete health insurance coverage and 401(k) with 6% employer match that starts day one!
• Multiple bonus programs.
• Paid holidays and generous paid time off.
• Tuition Assistance Program that covers professional continuing education.

Employee Perks

• On-site café and first-class fitness center with complimentary personal trainers.
• Over four miles of beautifully maintained walking trails.

About Uline

Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.

Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.

EEO/AA Employer/Vet/Disabled

#LI-LM5

#CORP

(#IN-PPFINHRLY)

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.

We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.

Our four values guide our strategy, our decisions, and our interactions:
• Make it human. We care about the people that make up our customers, colleagues, and communities.
• Make it about others. We do what’s best for our customers and collaborate to drive progress.
• Make it happen. We work with intention toward a common purpose and forge ways forward together.
• Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.

POSITION TITLE
Analytics Data Modeler Lead

LOCATION
This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin.

This role is not eligible for employment visa sponsorship.

YOUR ROLE
The Analytics Data Modeler plays a vital role in transforming raw data into meaningful business insights, which is essential for unlocking the value of data within organizations. This professional is responsible for designing, developing, and maintaining robust data models that empower organizations to make informed decisions based on accurate and accessible information. Working at the intersection of business needs, data architecture, and advanced analytics, the Analytics Data Modeler ensures that data flows seamlessly and can be leveraged to derive actionable intelligence to empower teams to uncover insights, drive strategy, and achieve business success in the data-driven age…

What you will be doing
• Data Modeling and Design: Develop conceptual, logical, and physical data models for business intelligence, analytics, and reporting solutions. Transform requirements into scalable, flexible, and efficient data structures that can support advanced analytics.
• Requirement Analysis: Collaborate with business analysts, stakeholders, and subject matter experts to gather and interpret requirements for new data initiatives. Translate business questions into data models that can answer these questions.
• Data Integration: Work closely with data engineers to integrate data from multiple sources, ensuring consistency, accuracy, and reliability. Map data flows and document relationships between datasets.
• Database Architecture: Design and optimize database schemas using the medallion architecture which includes relational, star schema and denormalized data sets for BI and ML data consumers.
• Metadata Management: Team with the data governance team so detailed documentation on data definitions, data lineage, and data quality statistics are available to data consumers.
• Data Quality Assurance: Establish master data management and data modeling practices that preserve historical context, explain data changes resulting from remediation or repairs, and enable consumers to understand variances from source systems.
• Collaboration and Communication: Serve as a bridge between technical teams and business units, clearly communicating the value and limitations of various data sources and structures.
• Continuous Improvement: Stay abreast of emerging trends in data modeling, analytics platforms, and big data technologies. Recommend enhancements to existing data models and approaches.
• Performance Optimization: Monitor and optimize data models for query performance and scalability. Troubleshoot and resolve performance bottlenecks in collaboration with database administrators.
• Governance and Compliance: Ensure that data models and processes adhere to regulatory standards and organizational policies regarding privacy, access, and security.

What you bring
• Bachelor’s degree in Computer Science, Information Systems, Data Science, Mathematics, or related field. Master’s degree preferred.
• Technical qualifications
• Deep familiarity with modern data modeling techniques, database management, and analytics platforms.
• Minimum 3 years of experience in data modeling in a Lakehouse analytics environment.
• Experience in insurance industry which can be P&C, Life, or healthcare.
• Proficiency in a data modeling tool such as ER Studio.
• Solid understanding of DataBricks Delta tables and Postgres database platforms.

• Experience with big data technologies and platforms (e.g., DataBricks, Spark, AWS, Azure).
• Expert level in DDL and SQL development
• Experience with data governance, quality frameworks, and metadata management, and how this connects to data modeling practices and needs.
• Strong analytical, problem-solving, and critical thinking skills needed for data modeling
• Excellent communication and interpersonal abilities.
• Ability to understand business processes, goals, and pain points to design data models that solve real-world problems.
• Strong team player who can interact with developers, analysts, and non-technical stakeholders.
• Ability to thrive in a fast-paced, dynamic environment and quickly pivot between projects.

Nice to have
• Understanding of PII and PHI data and how they are governed and secured
• Experience working on an agile team using agile tools, and associated practices.
• Knowledge of business intelligence tools (e.g., Power BI, Spotfire).
• Data taxonomies in insurance down to two or three levels
• Knowledge of typical data quality issues with insurance data
• Knowledge of cloud data management, data lakes, and ETL (Extract, Transform, Load) processes.
• Ability to work independently and collaboratively in a cross-functional team environment.
• Strong attention to detail and commitment to data accuracy.

Compensation Range

Within our company the base salary pay range for the job level P4 starts at a minimum rate of $120,000 up to the maximum of $195,000. The final determination on base pay for this position will be based on multiple factors to ensure pay equity within the organization. In addition to your base salary, you will also be eligible to participate in an Incentive Plan. The Incentive Plan is based on performance and the target earning opportunity is 15%

Employee Benefits & Well-Being
Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.

• Competitive Compensation & Total Rewards Incentives
• Comprehensive Healthcare Coverage
• Multiple 401(k) Savings Plan Options
• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
• Disability, Life, and Long Term Care Insurance
• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
• Caregiver and Mental Health Support Services

The Opportunity:

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

• 3+ years of experience in a professional environment
• Experience with data science, data analytics, machine learning, or statistics
• Experience writing sof tware in programming languages, including Python, C++, Java, or R
• Experience with identifying and analyzing data sets to meet customer requirements
• Experience with preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection
• Knowledge of Cloud services, including AWS, Azure, or Google Cloud
• Ability to help interpret model results and communicate them clearly through compelling data visualizations
• Ability to explain analytic and model findings to non-technical audiences
• Ability to obtain a Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
• Experience with DoD information systems
• Experience with Palantir products such as AIP, and Foundry
• Experience with self-service analytics and visualizations tools such as Qlik, Tableau, Power Platform, or PowerBI
• Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets
• Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
• Experience with Agile development
• Experience with CI / CD, including Git, Jenkins, and Docker
• Knowledge of procedural SQL language, including PL or pgSQL
• Master’s degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, Sof tware Engineering or a related field

Clearance :

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

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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

The Opportunity
As a senior analytics professional, you will lead analytic development, guide multi-disciplinary teams, and shape the data strategy behind mission modernization. Working and leading other data scientist, you will architect end-to-end analytic workflows-data engineering, modeling, validation, cloud deployment-and translate mission needs into executable technical solutions.

You’ll design models that quantify system behavior, integrate multi-INT and geospatial datasets, and implement AI / ML solutions optimized for real-time operational use. You will ingest APIs, building statistical baselines and identifying deviations. You will oversee and provide techniques in the use of tools such as SQL, Python, Excel, FADE / MIST, and Jema. You will partner with agencies and teams to ensure analytic outputs match mission timelines and technical rigor, consistent with the advanced expectations for senior data scientists.

You will also contribute to technical approaches and modernization roadmaps that tie directly into mission requirements.

Join us. The world can’t wait.

You Have

• Experience in data science, machine learning, or large-scale distributed analytics
• Experience with geospatial analytics, multi-INT fusion, or space-system data integration
• Experience developing, validating, and operationalizing AI / ML models, such as TensorFlow, PyTorch, and Scikit-learn
• Experience with distributed compute frameworks, such as Databricks and Spark, for high-volume mission data
• Experience integrating models into production or mission-critical workflows, including real-time analytics
• Experience with cloud-native AI / ML platforms such as AWS SageMaker and Azure ML
• Ability to lead analytic teams and mentor junior analysts or data scientists
• Ability to define analytic CONOPs, translate mission objectives into model requirements, and drive technical execution, and contribute to or lead WBS, RACI, BOE inputs, and enterprise-level technical approaches
• Active TS/SCI clearance; willingness to take a polygraph exam
• HS diploma or GED

Nice If You Have

• Experience leading IC or DoD analytics for CCMDs or related mission partners
• Experience designing or governing enterprise-level data architectures, catalogs, or met adata frameworks
• Experience with operator-facing systems such as JEMA, FADE / MIST, or mission-system modeling tools
• Experience developing modeling strategies for MTI, ISR, EW, or space-domain mission data
• TS/SCI clearance with a polygraph
• Google Professional Machine Learning Engineer Certification
• Azure Data Scientist Asso cia te Certification
• AWS Certified Machine Learning - Spe cia lty Certification
• TensorFlow Developer Certification

Clearance :

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI 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 $77,600.00 to $176,000.00 (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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.

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

The ETL Developer will support mission-critical data operations by designing, building, and optimizing large-scale data ingest and processing solutions in a Big Data environment. This role focuses on enabling reliable, performant data pipelines that support analytic and operational needs across the full data lifecycle.

Responsibilities include but are not limited to:

• Designing and implementing 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
• Designing and implementing data extraction, cleansing, transformation, loading, and replication/distribution
• Developing custom solutions/code to ingest and exploit new and existing data sources
• Working with Sponsor development teams to improve application performance
• Organizing and maintaining documentation so others are able to understand and use it
• Collaborating with teammates, other service providers, vendors, and users to develop new and more efficient methods

Minimum Qualifications:

• High School Diploma with 7+ years of relevant experience in Information Technology
• Software development experience, to include significant Java development, data analysis/parsing, and SQL/database experience
• Experience with the full data lifecycle, from ingest through display, in a Big Data environment
• Experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring, and experience with RESTful APIs
• Experience developing and performing ETL tasks in a Linux environment

Preferred Qualifications:

• Experience with Hadoop, Hbase, MapReduce
• Experience with Elasticsearch
• Experience with NiFi, Kafka, and Zookeeper

Clearance Requirements:

• An active/current TS/SCI with Polygraph

Physical Requirements:

• Use hands to operate a computer and other office productivity machinery, such as a calculator, copy machine and computer printer.
• The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Must be able to remain in a stationary position 50% of the time
• The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

Our client is seeking a Data Engineer to take ownership of end-to-end data processes within a growing, values-driven organization. This individual will play a key role in ensuring data is accurate, reliable, and actionable across the business. The ideal candidate is hands-on, detail-oriented, and comfortable working across the full data lifecycle—from ingestion and transformation to reporting and stakeholder enablement.

This role is a hybrid model in Portland, Oregon or Lakewood, Washington.

Data Engineer Responsibilities

• Own data quality across systems by identifying, troubleshooting, and resolving inconsistencies and inaccuracies.
• Design, build, and maintain scalable ETL/ELT pipelines to transform raw data into clean, structured datasets.
• Manage data ingestion processes from multiple internal and external sources, including APIs and databases.
• Develop and optimize SQL queries, data models, and schemas to support analytics and reporting needs.
• Create and maintain dashboards and reports in Power BI, ensuring they are accurate, user-friendly, and actionable.
• Partner with business stakeholders to translate requirements into data solutions and meaningful insights.
• Monitor pipeline performance and reliability, proactively addressing failures and inefficiencies.
• Contribute to data architecture design, including data lake structure and best practices.
• Document data sources, transformations, and workflows to support transparency and scalability.
• Collaborate cross-functionally with engineering and business teams to support data-driven decision making.

Data Engineer Qualifications

• 3+ years of experience in a data engineering, analytics engineering, or similar role with ownership of data pipelines and reporting.
• Strong proficiency in SQL, including complex queries, joins, and performance optimization.
• Hands-on experience with Python for data transformation, scripting, and automation.
• Proven experience building and maintaining Power BI dashboards, including data modeling and DAX.
• Experience designing and managing ETL/ELT processes and understanding when to apply each approach.
• Familiarity with cloud-based data platforms, preferably within a Microsoft ecosystem (e.g., Azure Data Factory, Synapse, or similar tools).
• Experience working with data lakes and modern data architecture concepts.
• Ability to work with APIs and semi-structured data formats such as JSON.
• Strong communication skills with the ability to explain data concepts to non-technical stakeholders.
• Detail-oriented with a strong sense of ownership and accountability for data accuracy.

Preferred:

• Experience with ERP or CRM systems as data sources (e.g., Microsoft Dynamics environments).
• Familiarity with transformation frameworks such as dbt.
• Experience working in smaller, collaborative teams with broad responsibilities.
• Background supporting financial or operational data where accuracy is critical.