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.
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
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
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
Benefits:
- 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