Staff Data Engineer: Data Fabric & Integrations (Remote)

GE Aerospace; Overland Park (KS); Remote; USD 112.000 - 149.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Remote work option

Zusammenfassung

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

You will collaborate with Architects and Product teams to ensure reliable data flow, governance, and security compliance while delivering data products with strong operational reliability.

Qualifikationen

• Bachelor's degree or equivalent with required experience per job listing.
• 3+ years in data pipeline engineering or IT/integration roles.
• Military experience counts as professional experience.

Aufgaben

• 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 lifecycle.
• Support schema-translation pipelines with senior engineer.
• Onboard and manage data product operations: monitoring, alerting, reliability.
• Enforce governance rules via policy-as-code and ABAC.

Kenntnisse

Data pipeline engineering

API & connector development

Hybrid cloud architectures

Policy enforcement

ABAC / access control

Security clearance readiness

Ausbildung

Bachelor's degree in CS/IS/Engineering

Associate degree with 7 years experience

High School Diploma with 9 years experience

Tools

AWS Certified Solutions Architect

Azure Administrator/Developer

Jobbeschreibung

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

You will collaborate with Architects and Product teams to ensure reliable data flow, governance, and security compliance while delivering data products with strong operational reliability.