Senior Data Engineer

General Dynamics Information Technology

Senior Data Engineer at GDIT powering innovation in AI and data integration. Building scalable data solutions for enterprise analytics and agentic AI applications.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $142,792 - $172,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaNoSQLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

10+ years of related experience
Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field
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
Experience delivering data engineering for agentic AI applications preferred
Familiarity with agent workflows and how agents interact with data services and tools in production preferred
Experience with lakehouse architectures and cloud data platforms such as Azure (preferred), OCI (preferred), or AWS preferred
Experience in real-time streaming applications or other high-velocity solutions preferred
Experience leveraging AI tools to improve data engineering productivity and quality in coding, testing, and documentation preferred.

Benefits

Comp & perks

Comprehensive benefits and wellness packages
401K with company match
Competitive pay and paid time off
Full-flex work week to own your priorities at work and at home
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year
Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data Pipeline DevelopmentPython ProgrammingJava ProgrammingSQL Database ManagementNoSQL Database ManagementReal-Time Streaming ApplicationsLakehouse ArchitectureData Engineering for AIData IntegrationPerformance Optimization

Soft Skills

CollaborationCommunication