Job description

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Governance, Python Software Development, SQL Query Development, Unstructured Data Certifications: None Experience: 2 + years of related experience US Citizenship Required: No Job Description: As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. We are a fast-growing AI and Data team within the Global CIO organization at GDIT. We design and deliver enterprise-grade solutions that integrate AI, data, and human-AI collaboration workflows across key business functions (e.g., Growth, Finance, HR, Legal, and Supply Chain). We are looking for a highly skilled Data Engineer (Agentic AI) who shares a passion for delivering data engineering for agentic AI applications and building an AI-first data ecosystem foundational to enterprise AI transformation. MEANINGFUL WORK AND PERSONAL IMPACT: Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents Implement data quality, observability, and governance best practices across data pipelines and products Optimize performance and cost across storage, compute, orchestration, and serving layers Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions WHAT YOU’LL NEED TO SUCCEED Bring your expertise and drive for innovation to GDIT. The Data Engineer must have: Education : Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field Experience : 2 years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance Role requirements: Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL). Experience with enterprise-scale data architectures and cloud data platforms such as Azure (preferred), OCI, or AWS. Strong collaboration and communication skills in cross-functional enterprise environments. Preferred Skills and Abilities: Experience delivering data engineering for agentic AI applications. Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search). Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS. Experience in real-time streaming applications or other high-velocity solutions. Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation. Location : Falls Church, VA (Hybrid, with the expectation the selected individual will work three (3) days per week in office) US Person required GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges The likely salary range for this position is $81,349 - $105,800. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% T elecommuting Options: Hybrid Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process: As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work: We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc . Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Requirements

Must-haves

Data Science and Data Engineering
Data Governance, Python Software Development, SQL Query Development, Unstructured Data Certifications:
2 + years of related experience US Citizenship Required:
Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
Integrate data from enterprise systems and external sources, including structured, semi-structured, and unstructured data
Deliver reliable data services for agentic AI workflows, including APIs, retrieval/indexing, and governed context delivery for AI agents
Implement data quality, observability, and governance best practices across data pipelines and products
Optimize performance and cost across storage, compute, orchestration, and serving layers
Collaborate with cross-functional teams, including business stakeholders, AI engineers, and software developers, to translate requirements into production solutions
Bring your expertise and drive for innovation to GDIT. The Data Engineer must have:
Education : Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field
Experience : 2 years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance
Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL).
Strong collaboration and communication skills in cross-functional enterprise environments.
Experience delivering data engineering for agentic AI applications.
Experience with retrieval-based AI data foundations (document processing, metadata, embeddings, vector or hybrid search).
Experience in real-time streaming applications or other high-velocity solutions.
Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation.
Location : Falls Church, VA (Hybrid, with the expectation the selected individual will work three (3) days per week in office)
US Person required
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities

Nice-to-haves

Experience with enterprise-scale data architectures and cloud data platforms such as Azure (preferred), OCI, or AWS.
Familiarity with agent workflows and how agents interact with data services and tools in production. Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsqlaijavaazureaws

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

401(K)

Paid Time Off

Wellness