Data Engineer

General Dynamics
United States
Workplace: HybridFull timeUSD 81,349 - 105,800 annuallyFunction: Software EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Collaboration","Communication","Data governance","Data quality","Innovation"]

Build and operate scalable end-to-end data pipelines and curated data products that enable enterprise analytics and agentic AI use cases. Integrate structured, semi-structured, and unstructured data from enterprise and external systems, and deliver governed data services for agent workflows via APIs, retrieval/indexing, and reliable context delivery. Apply data quality, observability, and governance best practices while optimizing performance and cost across storage, compute, orchestration, and serving layers.

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FursaFursa
General Dynamics
General Dynamics
2 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Build and operate scalable end-to-end data pipelines and curated data products that enable enterprise analytics and agentic AI use cases. Integrate structured, semi-structured, and unstructured data from enterprise and external systems, and deliver governed data services for agent workflows via APIs, retrieval/indexing, and reliable context delivery. Apply data quality, observability, and governance best practices while optimizing performance and cost across storage, compute, orchestration, and serving layers.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate scalable end-to-end data pipelines and curated data products for enterprise analytics and agentic AI use cases.
  • •Integrate data from enterprise systems and external sources across structured, semi-structured, and unstructured formats.
  • •Deliver reliable, governed data services for agentic AI workflows including APIs and retrieval/indexing for context delivery.
  • •Implement data quality, observability, and governance best practices across pipelines and data products.
  • •Optimize performance and cost across storage, compute, orchestration, and serving layers while collaborating with AI engineers and software developers.
Travel: Medium travel

Pay and Benefits

Salary: USD 81,349 - 105,800 annually
Perks:Health InsuranceDentalVision401kPaid LeavePaid Parental

Key Requirements

  • •Bachelor’s degree in Computer Science/Engineering, Data Science, or a related field.
  • •2+ years delivering production-grade data engineering across databases, data integration, data services, and data governance.
  • •Proficiency in programming (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 across cross-functional enterprise environments.
Experience:2+ yearsEnterprise-scale data engineeringAgentic AI
Education:Bachelor's in Computer Science/Engineering, Data Science, or a related field
Skills:CollaborationCommunicationData governanceData qualityInnovation
Tech Stack:PythonJavaSQLNoSQLAzureOCIAWSAPIsRetrievalIndexingEmbeddingsVector searchHybrid searchLakehouseStreamingOrchestrationObservabilityData pipelines

Eligibility

Nationality:US National

Company Brief

General Dynamics
Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Tysons / Fairfax, United States
WebsiteLinkedIn