Data Engineer
Role details
Job location
Tech stack
Job description
- 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
Bring your expertise and drive for innovation to GDIT. The Senior Data Engineer must have:
- Education: Bachelor's degree in Computer Science/Engineering, Data Science, or a related field
- Experience: 8+ 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.
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Location: Hybrid 3 days a week in Falls Church, VA Office
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US Persons required, 8 + years of related experience
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may vary based on technical training, certification(s), or degree Certification
Benefits & conditions
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.
Work Requirements
Years of Experience, The likely salary range for this position is $127,500 - $172,500. 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.