Senior Data Engineer - Remote Data Fabric & Integrations

GE Aerospace; Santa Fe (NM); Remote; USD 112,000 - 149,000; Full time

Job summary

GE Aerospace seeks a Staff Data Engineer to build the hands-on backbone of the Defense & Systems Data Fabric, including automated metadata ingestion, API and connector integrations, and the policy enforcement engine that turns governance rules into enforced behavior.

You will operate across hybrid cloud, on-premises, and customer-site environments in a defense context where access control must be provable, working with a small team to deliver data products from design to deployment.

Qualifications

• Bachelor’s degree with minimum 4 years professional experience OR Associates degree with minimum 7 years OR High School Diploma with minimum 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

• Pipeline and connector engineering: Build and maintain automated metadata ingestion pipelines across distributed source systems.
• Policy enforcement: Wire the policy enforcement engine that operationalizes governance rules.
• Operations and reliability: Onboard and manage the technical operations of data products; maintain documentation.
• Standards conformance: Build to architecture standards and contribute to onboarding data products.

Skills

Data Pipeline Engineering

Systems Integration

Security clearance eligible

Education

Bachelor's degree

Associates degree

High School Diploma

Job description

GE Aerospace seeks a Staff Data Engineer to build the hands-on backbone of the Defense & Systems Data Fabric, including automated metadata ingestion, API and connector integrations, and the policy enforcement engine that turns governance rules into enforced behavior.

You will operate across hybrid cloud, on-premises, and customer-site environments in a defense context where access control must be provable, working with a small team to deliver data products from design to deployment.