Remote Staff Data Engineer: Data Fabric & Defense Pipelines

GE Aerospace

Oklahoma City (OK)

Remote

USD 112,000 - 149,000

Full time

2 days ago
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Benefits offered by this job

Relocation Assistance
Remote Work

Job summary

GE Aerospace seeks a Staff Data Engineer to build the data fabric backbone for defense programs, enabling automated metadata ingestion, API/connector integrations, and policy-driven enforcement across hybrid cloud, on-premises, and edge environments.

You will own pipelines, enforce governance rules, and work with a lean team to deliver secure data products with reliability, documentation, and timely onboarding.

Qualifications

  • Bachelor's degree or equivalent with 4+ years of professional experience; or Associates with 7+ years; or High School Diploma with 9+ years of professional experience.
  • Minimum 3 years of professional experience in Data Pipeline Engineering & Systems Integration or IT.
  • Military experience is equivalent to 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 moving through the lifecycle.
  • Support schema-translation pipeline builds with the Sr Staff Data Engineer.
  • Wire the policy enforcement engine and implement policy-as-code including access control.

Skills

Data Pipeline Eng
Systems Integration
Hybrid Cloud
Policy Enforcement
API Development

Education

Bachelor's degree
Associates degree
High School Diploma

Tools

AWS Certification
Azure Administrator

Job description

GE Aerospace seeks a Staff Data Engineer to build the data fabric backbone for defense programs, enabling automated metadata ingestion, API/connector integrations, and policy-driven enforcement across hybrid cloud, on-premises, and edge environments.

You will own pipelines, enforce governance rules, and work with a lean team to deliver secure data products with reliability, documentation, and timely onboarding.

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