Remote PLM Data Integration Engineer

GE Aerospace; United States; Remote; USD 112,000 - 165,000; Full time

Benefits offered by this job

Health benefits

401(k) retirement plan with company-m扣

Job summary

GE Aerospace is seeking a remote data engineering professional to map data sources, movement, and interfaces within PLM/MDM environments. You will implement designs, test components, and participate in architectural governance under guidance.

Expect collaboration with project leads and business teams to ensure data quality and effective data delivery. The role emphasizes service-oriented components, proof-of-concepts, and exposure to cloud, DevOps, and big data platforms.

Qualifications

• 4+ years of professional experience in a related engineering role or equivalent.
• Military experience is considered equal to professional experience.
• Experience with data mapping, data movement, and interfaces preferred.

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 assigned components and tasks.
• Follow enterprise architecture standards and governance.
• Research tools and emerging technologies to support tasks.
• Build service-oriented software components reusable across the team.
• Collaborate with the project lead to align work with goals.
• Work with business functions on data-related system integration issues.

Education

Bachelor’s degree with minimum 4 years professional experience

Associates degree with minimum 7 years professional experience

High School Diploma with minimum 9 years professional experience

Tools

Oracle PLM

Job description

GE Aerospace is seeking a remote data engineering professional to map data sources, movement, and interfaces within PLM/MDM environments. You will implement designs, test components, and participate in architectural governance under guidance.

Expect collaboration with project leads and business teams to ensure data quality and effective data delivery. The role emphasizes service-oriented components, proof-of-concepts, and exposure to cloud, DevOps, and big data platforms.