Description
WD is hiring a Data Engineer to build and operate ML-ready scientific data pipelines for experimental measurement data from precision product development instruments. The role covers feature engineering, data quality, versioning and lineage, data contracts, real-time sensor ingestion, synthetic data infrastructure, and an MLOps data layer integrated with AWS, Kubernetes, and other AI platforms. Candidates need a bachelor's or master's degree in a relevant field, strong Python and SQL skills, and project experience building end-to-end data pipelines; prior machine learning experience is not required.
