Senior AI Data Engineer

🔥 0 minutes 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

🏭 Manufacturing

🎖️ Defense

💼 Consulting

Manufacturing • Defense • Consulting

GE Aerospace is a world-leading provider of jet and turboprop engines, as well as integrated systems for commercial, military, business, and general aviation aircraft. The company is dedicated to advancing sustainable aviation through the development of efficient aircraft engines compatible with alternative fuels and collaborates across the industry to promote innovation and safety in flight.

📋 Description

• Design and build the AWS-native data foundation behind enterprise AI applications • Lead the design and evolution of knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability • Align structured, semi-structured, and unstructured enterprise data into a coherent, queryable graph with clear provenance • Own graph queries, vector indexes, and hybrid retrieval, driving measurable improvements in grounding quality • Curate grounding corpora, evaluation datasets, and retrieval benchmarks for LLM-based features • Instrument retrieval quality, grounding accuracy, and freshness metrics and reduce regressions • Shape training and inference data contracts with AI engineers, including feedback loops from user signals • Produce conceptual, logical, and physical data models for operational and analytical workloads • Establish modeling standards, naming conventions, and reuse patterns • Build ingestion and transformation pipelines in Python and SQL using AWS services including Glue, Lambda, Step Functions, S3, Athena, OpenSearch, and Neptune, plus Bedrock and Bedrock Knowledge Bases • Author infrastructure as code in CloudFormation 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 • Attend in-person New Hire Orientation on Day 1

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a STEM field • Minimum of three years of data engineering experience • Legal authorization to work in the U.S. is required • Employment visas will not be sponsored now or in the future • U.S. Person status required for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, or granted asylee or refugee status • 5+ years of hands-on data engineering desired • Track record of 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: CloudFormation or CDK, Glue, Lambda, Step Functions, S3, IAM, and Bedrock • Strong Python and SQL • 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 • Ability to work effectively with multi-disciplinary teams • Presentation and influencing skills • Successful completion of a drug screen, as applicable • Employees may be subject to random and reasonable-suspicion drug and alcohol testing

🏖️ 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 • 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 • Professional development • Competitive compensation • Remote position • New Hire Orientation attendance in person on Day 1 • No relocation assistance