Senior AI Data Engineer

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GE Aerospace

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Design and build the AWS-native data foundation behind enterprise AI applications • Lead the design and evolution of the knowledge graphs and ontologies powering AI's reasoning, retrieval, and explainability • Align enterprise data into a coherent, queryable graph with clear provenance across structured, semi-structured, and unstructured sources • Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM-based features • Build ingestion and transformation pipelines in Python and SQL using AWS services • Author infrastructure as code in CloudFormation and apply AWS best practices • Partner with security and platform teams to integrate data access with enterprise identity and access policies • Set the design direction for data and semantic modeling across the team

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a STEM field with 3+ years of data engineering experience; OR high school diploma / GED with 7+ years of equivalent experience. • 5+ years of hands-on data engineering with a track record of designing 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 • GE Aerospace Retirement Savings Plan • 401(k) savings plan with company matching contributions and company retirement contributions • Access to Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness