General Dynamics Information Technology
Senior Data Engineer
Remote Senior Data Engineer role with clear candidate location fit.
PostedJul 2, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
US Citizenship Required:
- 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
US Citizenship Required:
- Education: Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field
- Experience:10+ 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.
- 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.
- 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.
- Location: Remote
- US Persons required
Details
- 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.
- 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.
US Citizenship Required:
- 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
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