Sr AI Data Engineer

GE Aerospace

Remote Actively hiring Verified listing
Remote, USA Posted 10 days ago $95,000–$159,000 / year
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At a glance

AI generated

TL;DR

As a Senior Data Engineer at our company, you will lead the design and implementation of AWS-native data foundations for enterprise AI applications, including knowledge graphs, semantic layers, and retrieval systems. Your role involves setting strategic patterns for data access and curation across the team while ensuring high-quality data governance and integration with enterprise identity policies. You will build ingestion pipelines using Python and SQL on services like Glue, Lambda, Step Functions, S3, Athena, OpenSearch, and Neptune, and mentor engineers in semantic modeling and retrieval engineering. Essential skills include AWS proficiency, knowledge graph experience, and expertise in AI/ML data quality management. This role demands strong technical leadership and collaboration across multi-disciplinary teams to solve complex business problems at scale.

Skills

AWS CloudFormation Python SQL Glue Lambda Step Functions S3 Athena OpenSearch Neptune Bedrock CI/CD Kubernetes Terraform PostgreSQL Neo4j Cypher SPARQL GraphQL

What you'll do

  • Lead the design and evolution of knowledge graphs and ontologies for AI systems.
  • Align enterprise data into a coherent, queryable graph with clear provenance across various sources.
  • Own retrieval substrate including graph queries, vector indexes, and hybrid retrieval methods.
  • Curate grounding corpora, evaluation datasets, and retrieval benchmarks for LLM-based features.
  • Build ingestion and transformation pipelines using AWS services like Glue, Lambda, and Neptune.
  • Define data contracts and metadata for attribute- and context-based access control integration.

What we're looking for

  • Bachelor's degree in Computer Science or equivalent experience required.
  • At least 5 years of hands-on data engineering with a focus on designing data models and semantic layers.
  • Proficient in AWS services including CloudFormation, Glue, Lambda, Step Functions, S3, IAM, Bedrock, and OpenSearch/Neptune.
  • Strong expertise in Python and SQL, with experience across various data stores like relational, graph, vector, and document databases.
  • Experience designing and implementing knowledge graphs and ontologies using tools such as Neo4j, Neptune, or similar technologies.
  • Background in supporting AI/ML systems, including RAG pipelines, embeddings, evaluation datasets, and grounding corpora.

Market check

Salary context

This $95,000–$159,000 range sits above 19% of similar postings on FindRole.

Peer median band

$134,920–$220,350

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$138,850–$220,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About GE Aerospace

GE Aerospace (General Electric Aerospace) designs and produces commercial and military jet engines, components, and integrated systems for aircraft manufacturers and airlines worldwide. Industry: Aerospace & Aviation Engines

GE Aerospace currently has 33 open roles on FindRole.

Listed pay typically runs $130,000–$173,000 across 21 roles with salary data.

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View all roles at GE Aerospace

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