Staff Application Engineer - PLM Data & APIs (Remote)

GE Aerospace; Barrington (IL); Remote; USD 112,000 - 165,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with match

Paid time off

Job summary

GE Aerospace is seeking a data engineering professional to map data sources, move data, and build interfaces to improve PLM/MDM data quality. You’ll work under senior guidance on moderately complex tasks within ALM/PLM domains, contributing to reusable service-oriented components and POCs.

The role emphasizes collaboration with project teams, adherence to enterprise standards, and evaluation of new data tools and cloud technologies. Remote-friendly with strong growth in data delivery platforms.

Qualifications

• Bachelor’s degree or higher with 4+ years of professional experience (or relevant alternative).
• Military experience is considered equivalent to professional experience per policy.

Responsibilities

• Execute data mapping, data movement, and interface tasks to support data quality within PLM and MDM platforms.
• Participate in technical discussions and document design decisions.
• Develop, configure, and test designs for components and tasks.
• Follow established enterprise architecture standards and domain governance.
• Research and evaluate tools and emerging technologies to support project tasks.
• Contribute to service-oriented data delivery platform components.
• Build and test proof-of-concepts using established design patterns under guidance.
• Collaborate with business to address data-related problems involving systems integration.

Skills

ALM knowledge

PLM systems

Education

Bachelor’s degree or higher

Tools

SOA

Microservices

Elasticsearch

Hadoop

Job description

GE Aerospace is seeking a data engineering professional to map data sources, move data, and build interfaces to improve PLM/MDM data quality. You’ll work under senior guidance on moderately complex tasks within ALM/PLM domains, contributing to reusable service-oriented components and POCs.

The role emphasizes collaboration with project teams, adherence to enterprise standards, and evaluation of new data tools and cloud technologies. Remote-friendly with strong growth in data delivery platforms.