Remote AI Enablement Engineer — PLM/Data Quality

GE Aerospace; Madisonville (KY); Remote; USD 112,000 - 165,000; Full time

Job summary

GE Aerospace is seeking a data engineering professional to execute data mapping, data movement, and interface tasks within PLM and MDM platforms, ensuring data quality and reliable data delivery. This role involves applying enterprise standards and contributing to reusable service-oriented components while exploring new tools and technologies.

You will work under guidance on moderately complex tasks, build POCs with proven design patterns, and collaborate with project teams to align efforts with

Qualifications

• Experience with PLM/ALM platforms and data integration.
• Strong data quality validation across sources.
• Knowledge of SOA, microservices, and enterprise architectures.
• Awareness of security and compliance in data projects.

Responsibilities

• Execute data mapping, data movement, and interface tasks supporting data quality in PLM and MDM platforms.
• Participate in technical discussions for projects and document design decisions.
• Develop, configure, and test designs for components and tasks.
• Follow established enterprise architecture standards and governance.
• Research tools and emerging technologies to support project tasks.
• Contribute to service-oriented data delivery platform components used across the team.
• Build and test POCs using established patterns under guidance.
• Collaborate with project lead to align work with goals.
• Work with business functions to address data-related integration issues.
• Apply methods and validation mechanisms for data quality at entry.

Skills

Data mapping

Data quality

Enterprise architecture

Education

Bachelor's degree + 4 years experience

Associates degree + 7 years experience

High School Diploma + 9 years experience

Tools

Oracle

ALM

PLM

Hadoop

Elasticsearch

Solr

Cloud technologies

DevOps

Job description

GE Aerospace is seeking a data engineering professional to execute data mapping, data movement, and interface tasks within PLM and MDM platforms, ensuring data quality and reliable data delivery. This role involves applying enterprise standards and contributing to reusable service-oriented components while exploring new tools and technologies.

You will work under guidance on moderately complex tasks, build POCs with proven design patterns, and collaborate with project teams to align efforts with