Remote Senior AI Data Engineer: Knowledge Graph & DataOps

GE Aerospace; Asheville (NC); Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Tuition assistance

Life insurance

Job summary

GE Aerospace seeks a Senior Data Engineer to design and build an AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval pipelines. You will set patterns for access, curation, and extension of data across verbose sources.

You will lead both strategy and hands-on engineering, with a focus on grounding quality, data contracts, and cross-functional collaboration with AI engineers and product teams.

Qualifications

• 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.

Responsibilities

• Design and evolve 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-based features.
• Instrument metrics for retrieval quality, grounding accuracy, and freshness.
• Shape training/inference data contracts with AI engineers.
• Produce data models for operational and analytical workloads; establish modeling standards.
• Build ingestion/transformation pipelines in Python/SQL using AWS services.
• Author infrastructure as code and enforce IAM, security, cost, and observability.
• Partner with security and platform teams to integrate data access with identity policies.
• Define data contracts and metadata for policy engines.
• Contribute to the data dictionary, glossary, and data catalog.
• Lead design direction for data/semantic modeling; mentor engineers.

Skills

Python programming

SQL

Data modeling

Graph knowledge

Communication

Education

Bachelor's degree in Computer Science, Engineering, or STEM field

Tools

AWS Glue

AWS Lambda

AWS Step Functions

AWS S3

AWS Athena

OpenSearch

Neptune

Bedrock / Bedrock Knowledge Bases

CloudFormation / CDK

Job description

GE Aerospace seeks a Senior Data Engineer to design and build an AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval pipelines. You will set patterns for access, curation, and extension of data across verbose sources.

You will lead both strategy and hands-on engineering, with a focus on grounding quality, data contracts, and cross-functional collaboration with AI engineers and product teams.