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Lead PL/SQL Developer (FTE / Onsite)
NTT DATA
Oaks, Pennsylvania
In office
Senior
Private salary
RECENTLY POSTED
TECH-AGNOSTIC ROLE

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Lead PL/SQL Developer (FTE / Onsite) to join our team in Oaks, Pennsylvania (US-PA), United States (US).

Job Responsibilities Include:

  • Develop PL/SQL code Data Access Layers for use by client applications
  • Experience in ETL with Tools. Informatica is plus.
  • Work closely with development teams to ensure successful implementation
  • Support refactoring of existing database schemas to support consolidation roadmap
  • Work with senior architects to understand new designs
  • Provide post implementation and on-going production support
  • Manage reference data stored in Oracle DBs

Basic Qualifications:

  • Bachelor’s degree in Computer Science or equivalent or relevant experience
  • 8+ years of software development experience utilizing PL/SQL.

Preferred Skills:

  • Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
  • Strong work ethic with good time management with ability to work with diverse teams and lead meetings
  • Strong experience in Wealth management or Finance/Banking Domain
  • All should be part of PL/SQL Developers for writing stored procedures etc in. Oracle Platform.
  • Experience in ETL with Tools. Informatica is plus.

#LI-NorthAmerica

#INDFSINS

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you’d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Data Scientist, Mid
BOOZ, ALLEN & HAMILTON, INC.
Multiple locations
Remote or hybrid
Mid - Senior
$77,600 - $176,000
RECENTLY POSTED
+4

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:

  • 2+ years of experience using data science programming languages such as Python or R
  • Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage
  • Experience with version control tools, including git, GitLab, GitHub, or Bitbucket
  • Knowledge of statistical analysis, predictive modeling, and machine learning met hods
  • Ability to design and develop automated analytic sof tware, techniques, and algorithms
  • Ability to develop solutions and integrate and extend free and open-source sof tware ( FOSS ) or COTS products
  • Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
  • TS / SCI clearance
  • Bachelor’s degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree

Nice If You Have:

  • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools asso cia ted with these disciplines
  • Experience with intelligence or operations analysis in the DoD or Intelligence Community
  • Knowledge of DevOps, including CI / CD pipelines and Jenkins
  • TS/SCI clearance with a polygraph

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.

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Frequently asked questions
You can find a wide range of Data Engineer positions, including roles focused on data pipeline development, ETL processes, big data technologies, cloud data engineering, and real-time data processing across various industries.
While certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics can enhance your profile, most job listings prioritize practical experience and skills in data engineering tools and programming languages.
Yes, our platform features both remote and on-site Data Engineer positions. You can filter your job search to find remote opportunities that fit your preferences.
Employers generally seek proficiency in SQL, Python, data warehousing, cloud platforms (like AWS, Azure, or GCP), ETL tools, and experience with big data technologies such as Hadoop or Spark.
New Data Engineer jobs are posted daily, ensuring you have access to the latest opportunities in the field.