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Senior AI Data Engineer
GE Aerospace. Designs and builds the AWS-native data foundation for enterprise AI applications .
Tech Stack
Tools & technologiesAWSNeo4jPythonSQL
About the role
Key responsibilities & impact- Designs and builds the AWS-native data foundation for enterprise AI applications
- Leads the design and evolution of knowledge graphs and ontologies
- Owns the retrieval substrate to improve grounding quality
- Curates grounding corpora and eval datasets for LLM-based features
- Produces data models for operational and analytical workloads
- Builds ingestion and transformation pipelines in Python and SQL using AWS services
- Profiles data sources and designs automated validation and monitoring
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or a STEM field with 3+ years of data engineering experience; OR high school diploma / GED with 7+ years of equivalent experience
- Production experience with knowledge graphs and ontologies (Neo4j, Neptune, TigerGraph, RDF/SPARQL, or similar)
- Strong AWS proficiency: CloudFormation (or CDK), Glue, Lambda, Step Functions, S3, IAM, Bedrock
- Strong Python and SQL skills
- Experience supporting AI/ML or LLM systems
- Strong cross-functional collaboration and communication skills
Benefits
Comp & perks- Healthcare benefits including medical, dental, vision, and prescription drug coverage
- Access to a Health Coach
- Employee Assistance Program providing 24/7 confidential assessment, counseling and referral services
- Retirement benefits including GE Aerospace Retirement Savings Plan and 401(k) matching contributions
- Tuition assistance
- Adoption assistance
- Paid parental leave
- Disability insurance
- Life insurance
- Paid time-off for vacation or illness
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringknowledge graphsontologiesPythonSQLdata modelingdata ingestiondata transformationautomated validationmonitoring
Soft Skills
cross-functional collaborationcommunication
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in STEM field