Senior AI Data Engineer

🕒 6 days ago

🇺🇸 United States – Remote

💵 $110k - $145k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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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 evolve knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability • Align engineering handbooks, parts, service manuals, DMAIC records, and user files into a queryable graph with clear provenance • Own graph queries, vector indexes, and hybrid retrieval, improving grounding quality • Curate grounding corpora, evaluation datasets, and retrieval benchmarks for LLM features • Instrument retrieval quality, grounding accuracy, and freshness metrics and reduce regressions • Shape training and inference data contracts with AI engineers, including user-signal feedback loops • Produce conceptual, logical, and physical data models for operational and analytical workloads • Establish modeling standards, naming conventions, and reuse patterns • Build Python and SQL ingestion and transformation pipelines using AWS services and AI services • Author infrastructure as code and apply AWS best practices for IAM, security, cost, and observability • Profile sources, identify data quality gaps, and design automated validation, monitoring, metadata, and lineage • Integrate data access with enterprise identity and access policies • Define data contracts, attributes, and metadata for attribute- and context-based access control • Contribute to the technical data dictionary, business glossary, and data catalog • Set design direction for data and semantic modeling across the team • Mentor engineers and citizen developers on modeling, ontology design, and retrieval engineering • Communicate tradeoffs and value to product, business, and executive stakeholders

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a STEM field • A minimum of three years of data engineering experience • Legal authorization to work in the U.S. required • Must meet U.S. Person status requirements for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, or protected individual with asylee or refugee status • 5+ years of hands-on data engineering preferred, with experience designing data models and semantic layers • Production experience with knowledge graphs and ontologies, such as Neo4j, Neptune, TigerGraph, RDF/SPARQL, or similar • Experience with graph query languages: Cypher, Gremlin, or SPARQL • Strong AWS proficiency, including CloudFormation or CDK, Glue, Lambda, Step Functions, S3, IAM, Bedrock, and Bedrock Knowledge Bases • OpenSearch and Neptune experience preferred • Strong Python and SQL skills • Comfort across relational, graph, vector, and document stores • Experience supporting AI/ML or LLM systems, including RAG pipelines, embeddings, eval datasets, and grounding corpora • Experience integrating data access with enterprise identity and policy systems • Strong cross-functional collaboration and communication skills • Technical presentation skills for non-data audiences • Ability to work effectively with multi-disciplinary teams and understand inter-dependencies • Ability to showcase teamwork skills, achieve common goals, provide resolutions, and share ideas • Presentation and influencing skills • Successful completion of a drug screen, as applicable

🏖️ Benefits

• Annual discretionary bonus based on a percentage of base salary • Commission based on the plan • Medical, dental, vision, and prescription drug coverage • Access to a Health Coach from GE Aerospace • Employee Assistance Program with 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 • Fidelity resources and planning consultants • Tuition assistance • Adoption assistance • Paid parental leave • Disability insurance • Life insurance • Paid time-off for vacation or illness • Professional development • Challenging careers • Competitive compensation