Remote PLM Data Engineer

GE Aerospace; Omaha (NE); Remote; USD 112,000 - 165,000; Full time

Job summary

GE Aerospace is seeking a data engineering professional to map data sources, move data, and manage interfaces within PLM/MDM ecosystems. The role emphasizes aligning design work with enterprise standards and developing reusable service-oriented components.

You will participate in technical discussions, test designs, and evaluate new tools while collaborating with vendors and cross-functional teams to ensure data quality at the point of entry.

Qualifications

• Bachelor’s degree with 4+ years of professional experience, or an Associate degree with 7+ years, or a High School Diploma with 9+ years

Responsibilities

• Execute data mapping, data movement, and interface tasks that support data quality within PLM and MDM platforms.
• Participate in technical discussions for assigned projects and document the resulting design decisions.
• Develop, configure, and test designs for assigned components and tasks.
• Follow established enterprise architecture standards and domain governance.
• Research and evaluate tools and emerging technologies to support assigned project tasks.
• Contribute to the development of software and data delivery platform components that are service-oriented and reusable across the team.
• Build and test proof-of-concepts (POCs) using established, hardened design patterns under guidance.
• Work with the project lead to understand requirements and align assigned work with project goals.

Skills

Data mapping

Data movement

Interface tasks

Education

Bachelor's degree

Associate degree

High School Diploma

Tools

Oracle

ALM

PLM

Hadoop

Elasticsearch

Solr

Job description

GE Aerospace is seeking a data engineering professional to map data sources, move data, and manage interfaces within PLM/MDM ecosystems. The role emphasizes aligning design work with enterprise standards and developing reusable service-oriented components.

You will participate in technical discussions, test designs, and evaluate new tools while collaborating with vendors and cross-functional teams to ensure data quality at the point of entry.