[Hiring] Senior AI Data Engineer @GE Aerospace

Role Description

The Senior Data Engineer designs and builds the AWS-native data foundation behind our enterprise AI applications — knowledge graphs, semantic layers, retrieval corpora, and the pipelines that keep them trustworthy. This role leads both the design strategy for how our AI systems understand enterprise data and the hands-on engineering to make it real. You will set the patterns the rest of the team — including citizen developers building with Agents and MCPs — follow when they access, curate, or extend our data.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a STEM field
• A minimum of three years of data engineering experience

Requirements

• 5+ years of hands-on data engineering with a track record of designing — not just implementing — data models and semantic layers.
• Production experience with knowledge graphs and ontologies (Neo4j, Neptune, TigerGraph, RDF/SPARQL, or similar) and graph query languages (Cypher, Gremlin, SPARQL).
• Strong AWS proficiency required: CloudFormation (or CDK), Glue, Lambda, Step Functions, S3, IAM, Bedrock, Bedrock Knowledge Bases; OpenSearch and Neptune a plus.
• Strong Python and SQL; comfort across relational, graph, vector, and document stores.
• Experience supporting AI/ML or LLM systems — RAG pipelines, embeddings, eval datasets, grounding corpora.
• Experience integrating data access with enterprise identity and policy systems.
• Strong cross-functional collaboration and communication, including technical presentations to non-data audiences.

Benefits

• Healthcare benefits include medical, dental, vision, and prescription drug coverage.
• Access to a Health Coach from GE Aerospace.
• Employee Assistance Program providing 24/7 confidential assessment, counseling, and referral services.
• Retirement benefits include the GE Aerospace Retirement Savings Plan and a 401(k) savings plan with company matching contributions.
• Access to Fidelity resources and planning consultants.
• Tuition assistance and adoption assistance.
• Paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.