Remote Senior AI Data Engineer - Knowledge Graphs & AWS

GE Aerospace; Wilmington (NC); Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Career development

Job summary

GE Aerospace is seeking a Senior Data Engineer to design the AWS-native data foundation for enterprise AI apps. You will lead knowledge graphs, semantic layers, and retrieval pipelines, while hands-on implementing data models and contracts for AI features.

The role focuses on data modeling, pipeline construction in Python/SQL on AWS services (Glue, Lambda, S3, OpenSearch, Neptune), and governance, with leadership across teams and stakeholders.

Qualifications

• Bachelor's degree in a STEM field.
• 3+ years of data engineering experience.
• Hands-on experience with AWS data services is required.

Responsibilities

• Design and evolve knowledge graphs and ontologies for AI reasoning and retrieval.
• Build and maintain data pipelines on AWS (Python/SQL).
• Shape data contracts for AI/ML pipelines and grounding data.

Skills

AWS

Python

SQL

Knowledge graphs

Education

Bachelor's in CS/Engineering

Tools

CloudFormation

Glue

Lambda

OpenSearch

Neptune

Job description

GE Aerospace is seeking a Senior Data Engineer to design the AWS-native data foundation for enterprise AI apps. You will lead knowledge graphs, semantic layers, and retrieval pipelines, while hands-on implementing data models and contracts for AI features.

The role focuses on data modeling, pipeline construction in Python/SQL on AWS services (Glue, Lambda, S3, OpenSearch, Neptune), and governance, with leadership across teams and stakeholders.