Senior Data Engineer
Core
Design and build data pipelines to curate, index, and govern engineering data sources for AI-enabled workflows in R&D.
Role type
Senior IC data engineer (AI infrastructure)
Builds
Data pipelines and indexing systems for engineering knowledge (requirements, design history, test data)
Domain
Medical device manufacturing / R&D / AI infrastructure
Deliverable
production ML models
Required skills
Data pipeline design, data curation, indexing, data quality governance, schema definition, system integration, reliability engineering
Preferred skills
Retrieval-augmented generation (RAG) architecture, agentic workflows, versioned prompt libraries
Technologies
Windchill, Jira, GitLab, AWS
Responsibilities
Design and build data pipelines that ingest, curate and index engineering data sources; Own data curation, indexing quality and pipeline reliability; Ensure engineering knowledge is current, trusted and AI-accessible; Define and enforce data quality checks, schemas and governance practices; Partner with AI Solutions Architect on context layer and retrieval architecture; Partner with AI Solutions Delivery on integration patterns across engineering systems; Scale pipeline reliability and indexing coverage as workflows move to production; Support evaluation-harness data needs including test data preparation.
