Data Engineer
Core
Design and build scalable data infrastructure, pipelines, and models to transform operational and business data for analytics and AI workloads in a manufacturing setting.
Role type
Data Engineer
Builds
Data Lakehouse, ETL pipelines, operational databases, and data models for a 10,000 ton/year rare-earth magnet facility
Domain
Manufacturing (rare-earth magnets) + Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data architecture design, ETL pipeline development, data modeling, platform evaluation, data quality assurance, system integration, version control, testing, observability
Preferred skills
Experience scaling from pilot to full-scale facilities, handling CUI/ITAR data, cross-functional collaboration
Technologies
Data Lakehouse, ETL tooling, operational databases, time-series data systems, image processing systems
Responsibilities
Design and own data architecture from operational stores to analytics/AI layers; Evaluate and select platforms for data Lakehouse and ETL; Build reliable ingest paths for structured, time-series, and unstructured data; Diagnose and resolve data quality issues; Eliminate manual data workflows with automated pipelines; Ensure architecture scalability from pilot to full-scale facility
Seniority
Mid-to-Senior, hands-on IC with potential for team leadership
