Remote PLM Data Integration Engineer

GE Aerospace

Redmond

Remote

AUD 159,000 - 235,000

Full time

6 days ago
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Benefits offered by this job

Healthcare benefits
401(k) plan
Paid time off

Job summary

GE Aerospace is seeking a data engineering professional to execute data mapping, data movement, and interface tasks across PLM/MDM platforms to ensure data quality. You will participate in technical discussions, design, configure, and test components, and align work with enterprise standards.

This role emphasizes hands-on development of service-oriented data delivery components and collaboration with project leads.

Qualifications

  • 4+ years of professional experience or equivalent per degree option.
  • Minimum 3 years of professional experience in Application Engineering.
  • Military experience considered equivalent.

Responsibilities

  • Execute data mapping, data movement, and interface tasks supporting data quality.
  • Participate in technical discussions and document design decisions.
  • Develop, configure, and test designs for components and tasks.
  • Follow established enterprise architecture standards and governance.
  • Research and evaluate tools and emerging technologies for tasks.
  • Contribute to service-oriented, reusable platform components.
  • Build and test POCs using established design patterns under guidance.
  • Collaborate with project lead to align work with goals.
  • Address data-related problems involving systems integration and product structure.
  • Apply validation methods for data quality at entry point.
  • Support vendor evaluation within the PLM space.

Skills

Data mapping
Data quality
PLM/MDM
SOA
Microservices
Documentation

Education

Bachelor’s degree in a relevant field
Associates degree
High School Diploma

Tools

Oracle
ALM
PLM
Elasticsearch
Solr
Hadoop
Cloud
DevOps

Job description

GE Aerospace is seeking a data engineering professional to execute data mapping, data movement, and interface tasks across PLM/MDM platforms to ensure data quality. You will participate in technical discussions, design, configure, and test components, and align work with enterprise standards.

This role emphasizes hands-on development of service-oriented data delivery components and collaboration with project leads.

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