> Markdown version of [/jobs/ext/3788061-data-engineer](https://www.wearedevelopers.com/jobs/ext/3788061-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** General Dynamics Information Technology - **Location:** Falls Church, VA, United States - **Experience:** Experienced - **Salary:** $81,349.0 - $105,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Databases, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Python (Programming Language), Metadata, NoSQL, Cloud Services, SQL Databases, Data Streaming, Unstructured Data, Enterprise Software Applications, Indexer, Agentic-AI, Information Technology, Oracle Cloud Infrastructure, Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_gditmerge-RQ225443 ## About the Role **Req ID:** RQ225443 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** None **Public Trust/Other Required:** None **Job Family:** Data Science and Data Engineering **Skills:** Data Governance,Python Software Development,SQL Query Development,Unstructured Data **Experience:** 2 + years of related experience **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