Staff Data Engineer: Defense Data Fabric Integrations

GE Aerospace

Jacksonville (FL)

On-site

USD 112,000 - 149,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) with company match
Paid time off

Job summary

GE Aerospace is seeking a Staff Data Engineer to build and operate the data fabric underpinning defense data products. You will own ingestion pipelines, API/connector integrations, and policy-enforcement tooling across hybrid cloud, on‑prem, and customer‑site environments.

The role emphasizes governance, secure data access, and reliability, with collaboration across architects and product leaders to ensure compliant, provable data flows for safety, quality, and cost reduction.

Qualifications

  • 4+ years of professional experience or 7+ years with an Associates degree, or 9+ years with a high school diploma
  • Minimum 3 years in Data Pipeline Engineering & Systems Integration or IT
  • Military experience counts as professional experience

Responsibilities

  • Build and maintain automated metadata ingestion pipelines across distributed source systems
  • Develop API and connector integrations for new data sources and data-product delivery
  • Plan, schedule, and execute integration work for data products through the lifecycle
  • Support schema-translation pipeline builds with the Sr Staff Data Engineer
  • Wire the policy enforcement engine and ABAC for governance and access control

Skills

Data pipeline engineering
Systems integration
ABAC / access control

Education

Bachelor’s degree in CS/Engineering

Tools

IAM integration
Hybrid cloud tools

Job description

GE Aerospace is seeking a Staff Data Engineer to build and operate the data fabric underpinning defense data products. You will own ingestion pipelines, API/connector integrations, and policy-enforcement tooling across hybrid cloud, on‑prem, and customer‑site environments.

The role emphasizes governance, secure data access, and reliability, with collaboration across architects and product leaders to ensure compliant, provable data flows for safety, quality, and cost reduction.

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