Senior Principal AI Data Engineer

General Dynamics
United States
Workplace: OnsiteFull timeUSD 174,250 - 235,750 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Collaboration"]

Design and operate scalable data pipelines that ingest, store, and process high-volume, multi-source data to power modern AI/ML. Partner with software, analytics, and product teams to build model-ready datasets, implement data lakehouse and vector store storage layers, and enable low-latency retrieval for AI inference and RAG. Use Apache Airflow for ETL orchestration, Elasticsearch/OpenSearch for indexing and search, and Git/Linux for reliable deployments and performance tuning.

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FursaFursa
General Dynamics
General Dynamics
3 days ago

Senior Principal AI Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design and operate scalable data pipelines that ingest, store, and process high-volume, multi-source data to power modern AI/ML. Partner with software, analytics, and product teams to build model-ready datasets, implement data lakehouse and vector store storage layers, and enable low-latency retrieval for AI inference and RAG. Use Apache Airflow for ETL orchestration, Elasticsearch/OpenSearch for indexing and search, and Git/Linux for reliable deployments and performance tuning.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement scalable data pipelines and ETL processes using Apache Airflow for AI data.
  • •Build and tune search and retrieval capabilities using ElasticSearch/OpenSearch, including indexing strategies and performance optimization.
  • •Enable low-latency retrieval for AI inference and RAG by optimizing data access patterns, caching, and index refresh.
  • •Collaborate with analytic teams to define schemas, requirements, and interfaces for downstream consumption.
  • •Use Git and Linux to support version control, peer code reviews, CI/CD workflows, and performance tuning across pipeline components.

Pay and Benefits

Salary: USD 174,250 - 235,750 annually
Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •Experience with Apache Airflow for workflow orchestration.
  • •Strong programming skills in Python.
  • •Experience with ElasticSearch/OpenSearch for data indexing and search, including tuning relevance and performance.
  • •Understanding of vector databases, embedding models, and vector search for AI applications.
  • •10+ years of related experience and a Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
Experience:10+ yearsGovernment contractingAI/ML
Education:Bachelor's in Computer Science, Software Engineering, or a related field
Skills:Collaboration
Tech Stack:Apache AirflowPythonETLGitSQLElasticSearchOpenSearchLinuxVector databasesEmbedding modelsVector searchVector storesData lakehouseRetrieval-augmented generation (RAG)MicroservicesMinIOCI/CDCachingIndex refreshIndexing strategies

Eligibility

Nationality:US National
Security Clearance:Top Secret/SCITop Secret SCI + Polygraph

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