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.
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