Remote Senior AI Data Engineer - Knowledge Graph

GE Aerospace; Bismarck (ND); On-site; USD 110,000 - 145,000; Full time

Job summary

GE Aerospace seeks a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval systems. You will lead design patterns and hands‑on engineering to empower teams accessing, curating, or extending data.

Responsibilities span knowledge-graph design, data modeling on AWS, and governance. You will mentor engineers, define data contracts, and collaborate with AI/ML teams to ensure grounded,

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a STEM field.
• A minimum of three years of data engineering experience.
• 5+ years of hands‑on data engineering with graph/semantic modeling.
• Production experience with knowledge graphs and ontologies (Neo4j/Neptune/TigerGraph/RDF/SQL).
• Strong AWS proficiency: CloudFormation/CDK, Glue, Lambda, Step Functions, S3, IAM, Bedrock.
• Strong Python and SQL across relational and graph stores.
• Experience with AI/ML/LLM systems — embeddings, RAG pipelines, eval datasets.
• Experience integrating data access with enterprise identity and policy systems.
• Strong cross‑functional collaboration and communication.

Responsibilities

• Lead the design and evolution of knowledge graphs and ontologies powering our AI reasoning and explainability.
• Align data sources into a coherent, queryable graph with provenance.
• Own the retrieval substrate and drive grounding quality improvements.
• Instrument metrics for retrieval quality, grounding accuracy, and freshness.
• Shape training/inference data contracts with AI engineers and feedback loops.

Skills

Knowledge graphs

AWS

Python

SQL

Data modeling

Data pipelines

Data governance

Leadership

Education

Bachelor's degree in CS/Engineering/ STEM

Tools

Glue

Lambda

Step Functions

S3

Athena

OpenSearch

Neptune

Bedrock Knowledge Bases

CloudFormation/CDK

Job description

GE Aerospace seeks a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval systems. You will lead design patterns and hands‑on engineering to empower teams accessing, curating, or extending data.

Responsibilities span knowledge-graph design, data modeling on AWS, and governance. You will mentor engineers, define data contracts, and collaborate with AI/ML teams to ensure grounded,