Data Engineer for Agentic AI Pipelines (Hybrid)

General Dynamics Information Technology, Inc.; Merrifield (VA); Hybrid; USD 81,000 - 106,000; Full time

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Engineer to power enterprise analytics and agentic AI workflows.

You will design and operate scalable data pipelines, ingest from structured, semi-structured, and unstructured sources, and deliver reliable data services for AI agents. The role requires 2+ years of data engineering experience, a Bachelor’s degree in a related field, and proficiency in Python or Java with SQL/NoSQL databases.

Qualifications

• 2+ years of experience delivering production-grade data engineering across databases, data integration, data services, and data governance.
• Education: Bachelor’s degree in Computer Science/Engineering, Data Science, or related field.
• Proficiency in programming languages (Python or Java) and databases (SQL and NoSQL).

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

Skills

Data Governance

Python Software Development

SQL Query Development

Unstructured Data

Education

Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field

Job description

General Dynamics Information Technology, Inc. is seeking a Data Engineer to power enterprise analytics and agentic AI workflows.

You will design and operate scalable data pipelines, ingest from structured, semi-structured, and unstructured sources, and deliver reliable data services for AI agents. The role requires 2+ years of data engineering experience, a Bachelor’s degree in a related field, and proficiency in Python or Java with SQL/NoSQL databases.