Data Engineer
About The Position
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.
Requirements
- Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field
- 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).
- 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.
- US Citizenship Required: No
- US Person required
Nice To Haves
- 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.
Responsibilities
- 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
Benefits
- AI-powered career tool that identifies career steps and learning opportunities
- An internal mobility team focused on helping you achieve your career goals
- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full-flex work week
- Variety of medical plan options, some with Health Savings Accounts
- Dental plan options
- Vision plan
- 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.
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
