Data Engineer

GDIT is a global technology and professional services company delivering technology solutions and mission services across the U.S. government, defense, and intelligence community. The Data Engineer will design, build, and operate scalable data pipelines and curated data products supporting enterprise analytics and agentic AI use cases. The role also involves integrating diverse data sources, delivering governed data services for AI workflows, and implementing data quality, observability, governance, and performance optimization practices.

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

Preferred

• 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
• Agentic AI Engineering
• Retrieval-Based AI
• Document Processing
• Metadata Management
• Embeddings
• Vector Search
• Hybrid Search
• Agent Workflows
• Production Tools
• Lakehouse Architecture
• Microsoft Azure
• Oracle Cloud Infrastructure
• Amazon Web Services
• Real-Time Streaming
• High-Velocity Solutions
• AI Productivity Tools
• Coding
• Testing
• Documentation

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
• Paid time off
• Full-flex work week to own your priorities at work and at home
• Award-winning culture of innovation and a military-friendly workplace
• Medical plan options, some with Health Savings Accounts
• Dental plan options
• A 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
• A 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 insurance
• Accidental death and dismemberment insurance
• Personal accident insurance
• Critical illness insurance
• Business travel and accident insurance
• Hybrid work arrangement in Falls Church, VA

Company

• Technology and mission services for U.S. government, defense, intelligence.
• Falls Church, Virginia, USA
• https://www.gdit.com/
• Founded in 1999
• 10001+ employees

Qualifications

• Data Governance, Python Software Development, SQL Query Development, Unstructured Data
• 2 + years of related experience
• **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
• 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
• **Location**: Falls Church, VA (Hybrid, with the expectation the selected individual will work three (3) days per week in office)
• US Person required
• 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

Required skills

• Python, Java, SQL, NoSQL, Data Governance, Data Engineering, Enterprise-Scale Data Architecture, Cloud Data Platforms, Unstructured Data, Agentic AI Data Engineering, Retrieval-Based AI Data Foundations, Real-Time Data Streaming

Experience

• 2+ years