Note: The job is a remote job and is open to candidates in USA. GE Aerospace is seeking a Senior Data Engineer to build the AWS-native data foundation supporting enterprise AI applications. The role leads knowledge graph and semantic layer design, retrieval engineering, AI/ML data quality, AWS data pipelines, governance, identity integration, and technical mentorship.
Responsibilities
- Lead the design and evolution of the knowledge graphs and ontologies powering our AI's reasoning, retrieval, and explainability
- Align enterprise data (engineering handbooks, parts, service manuals, DMAIC records, user files) into a coherent, queryable graph with clear provenance across structured, semi-structured, and unstructured sources
- Own the retrieval substrate — graph queries, vector indexes, and hybrid retrieval — and drive measurable improvements in grounding quality
- Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM-based features
- Instrument metrics for retrieval quality, grounding accuracy, and freshness; drive regressions down over time
- 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 — Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune — and AI services such as Bedrock and Bedrock Knowledge Bases
- Author infrastructure as code in CloudFormation (CDK welcome) 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
- Partner with security and platform teams to integrate data access with enterprise identity and access policies, as we look to modernize for AI
- Define data contracts, attributes, and metadata that policy engines can reason over for attribute- and context-based access control
- Contribute to the technical data dictionary, business glossary, and data catalog
- Set the 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 clearly to product, business, and executive stakeholders
Skills
- * 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. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
- * Strong AWS proficiency required: CloudFormation (or CDK), Glue, Lambda, Step Functions, S3, IAM, Bedrock, Bedrock Knowledge Bases; OpenSearch and Neptune a plus
- * This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))
- * 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 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
- * Ability to work effectively with multi-disciplinary teams (e.g., Digital Technology, GE Business teams) and understand the inter-dependencies between them
- * Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas
- * Demonstrate the presentation and influencing skills
Benefits
- Annual discretionary bonus based on a percentage of base salary or commission based on the plan
- 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
- Professional development
- Remote position
Company Overview