Remote PLM Data Integration Engineer

GE Aerospace; Pierre (SD); Remote; USD 112,000 - 165,000; Full time

Job summary

GE Aerospace is seeking a data engineering specialist to map data sources, manage data movement, and build interfaces within PLM/ALM platforms. You will contribute to service-oriented components and participate in design discussions under senior guidance, applying data quality methods and enterprise architecture standards.

The role emphasizes hands-on development of components, testing, and collaboration with business teams to solve data integration challenges.

Qualifications

• 4+ years of professional experience in Application Engineering.
• Military experience is equivalent to professional experience.

Responsibilities

• Execute data mapping, data movement, and interface tasks that support data quality within PLM and MDM platforms.
• Participate in technical discussions and document design decisions.
• Develop, configure, and test designs for assigned components and tasks.
• Follow enterprise architecture standards and governance.
• Research and evaluate tools and emerging technologies to support projects.
• Build and test service-oriented platform components reusable across the team.
• Work with the project lead to understand requirements and align tasks with goals.
• Collaborate with business to address data-related problems involving systems integration.

Skills

Data mapping

Data quality

PLM systems

SOA / microservices

DevOps

Big Data (Hadoop)

Cloud technologies

Elasticsearch

Solr

Education

Bachelor’s degree or higher

Associates degree (7+ years)

High School Diploma (9 years exp)

Tools

Elasticsearch

Solr

Hadoop

Cloud platforms

Job description

GE Aerospace is seeking a data engineering specialist to map data sources, manage data movement, and build interfaces within PLM/ALM platforms. You will contribute to service-oriented components and participate in design discussions under senior guidance, applying data quality methods and enterprise architecture standards.

The role emphasizes hands-on development of components, testing, and collaboration with business teams to solve data integration challenges.