Remote Senior AI Data Engineer:Knowledge Graphs & Pipelines

GE Aerospace; Boston (MA); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Disability insurance

Life insurance

Paid time off

Tuition assistance

Adoption assistance

Job summary

GE Aerospace seeks a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval pipelines. The role combines design leadership with hands-on engineering to implement scalable data patterns for access, curation, and extension of enterprise data.

You will guide data modeling, governance, and pipelines using AWS services such as Glue, Lambda, S3, OpenSearch, Neptune, Bedrock, and related AI

Qualifications

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

Responsibilities

• Lead the design and evolution of knowledge graphs and ontologies powering AI reasoning, retrieval, and explainability.
• Own the retrieval substrate—graph queries, vector indexes, and hybrid retrieval; drive grounding quality improvements.
• Profile sources, identify data quality gaps, and design automated validation, monitoring, metadata, and lineage.

Skills

Knowledge graphs

AWS

Python

SQL

Graph query languages

Neo4j

Neptune

Cypher

Gremlin

SPARQL

Education

Bachelor's degree in CS/Engineering or STEM

Tools

CloudFormation/CDK

Glue

Lambda

Step Functions

S3

IAM

Bedrock

Bedrock Knowledge Bases

OpenSearch

Neptune (tool)

Job description

GE Aerospace seeks a Senior Data Engineer to design and build the AWS-native data foundation for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval pipelines. The role combines design leadership with hands-on engineering to implement scalable data patterns for access, curation, and extension of enterprise data.

You will guide data modeling, governance, and pipelines using AWS services such as Glue, Lambda, S3, OpenSearch, Neptune, Bedrock, and related AI