Remote PLM Data Integration Engineer

GE Aerospace; Denver (CO); Remote; USD 112,000 - 165,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company matching

Tuition assistance

Paid time off

Job summary

GE Aerospace seeks a data engineering professional to map data sources, movements, and interfaces within PLM and MDM environments. You will contribute to service‑oriented components, collaborate on project designs, and test implementations under guidance.

The role emphasizes engineering discipline, governance compliance, and hands‑on development of reusable data delivery solutions, with exposure to ALM/PLM platforms and modern data tooling.

Qualifications

• Bachelor’s degree or higher with 4+ years in Application Engineering OR Associates with 7+ years OR HS diploma with 9+ years of experience.
• Minimum 3 years of professional experience in Application Engineering.
• Military experience is equivalent to professional experience.

Responsibilities

• Execute data mapping, data movement, and interface tasks supporting data quality in PLM/MDM platforms.
• Participate in technical discussions and document design decisions for projects.
• Develop, configure, and test designs for assigned components and tasks.
• Follow established enterprise standards and governance.
• Research tools and technologies to support project tasks.
• Develop service‑oriented components reusable across the team.
• Build and test POCs using established design patterns with hands‑on execution.

Skills

Data mapping

Data movement

Systems integration

Big Data concepts

DevOps practices

SOA Architecture

Education

Bachelor’s degree

Associates degree

High School Diploma

Tools

Oracle

ALM

PLM

Hadoop

Elasticsearch

Solr

Cloud technologies

Job description

GE Aerospace seeks a data engineering professional to map data sources, movements, and interfaces within PLM and MDM environments. You will contribute to service‑oriented components, collaborate on project designs, and test implementations under guidance.

The role emphasizes engineering discipline, governance compliance, and hands‑on development of reusable data delivery solutions, with exposure to ALM/PLM platforms and modern data tooling.