Sr AI Data Engineer

GE Aerospace; Baltimore (MD); Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health benefits

401(k) with company match

Tuition assistance

Paid parental leave

Job summary

GE Aerospace is seeking a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs and semantic layers. You will lead data modeling, graph-based retrieval, and data quality initiatives across structured and unstructured sources.

You will mentor engineers, define standards for ontologies and retrieval, and collaborate with product and security teams.

Qualifications

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Responsibilities

• Lead the design and evolution of knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability.
• Align enterprise data into a coherent, queryable graph with provenance across sources.
• Own the retrieval substrate and drive improvements in grounding quality.
• Curate grounding corpora, eval datasets, and retrieval benchmarks for LLM features.
• Instrument metrics for retrieval quality and grounding accuracy; drive regressions down over time.
• Shape data contracts for AI engineers, including feedback loops from user signals.
• Produce data models for operational and analytical workloads; establish standards and reuse patterns.
• Build ingestion and transformation pipelines in Python and SQL using AWS services (Glue, Lambda, Step Functions, S3, Athena, OpenSearch, Neptune).
• Author infrastructure as code (CloudFormation/CDK) and apply AWS best practices for IAM, security, cost, observability.
• Profile sources, identify data quality gaps, and design automated validation and lineage.
• Partner with security and platform teams to integrate data access with identity policies.
• Define data contracts and metadata for policy engines; contribute to data dictionary and catalog.
• Set design direction for data and semantic modeling; mentor engineers and citizen developers.
• Communicate tradeoffs and value to product, business, and executives.

Skills

Data modeling

Knowledge graphs

Python

SQL

AWS services

Graph queries

Communication

Leadership

ML/AI data pipelines

Education

Bachelor's degree in Computer Science or STEM

Tools

Neo4j

Neptune

TigerGraph

Cypher

Gremlin

SPARQL

CloudFormation/CDK

OpenSearch

Bedrock Knowledge Bases

Job description

Job Description Summary

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.

Job Description

Roles and Responsibilities

Knowledge Graph and Semantic Layer (primary focus)

• 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.

AI/ML Data 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.

Data Modeling and Pipelines on AWS

• 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.

Data Governance and Identity Integration

• 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.

Technical Leadership

• 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

Required Qualifications

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

Eligibility Requirement

• 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.

Desired Qualifications

• 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.

Leadership Skills

• 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

The base pay range for this position is $110,00-145,000. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on September 2nd, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.

This role will require in-person attendance for New Hire Orientation on Day 1

Remote position.

GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.

Relocation Assistance Provided

No

GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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)).