Description
Parallel is hiring a Data Platform Engineer to build the data foundations supporting model training, product development, and analytics. The role covers designing large-scale ingestion and transformation pipelines, storage and serving layers, data quality, lineage, and observability systems, and anticipating architectural bottlenecks. Candidates should have strong intuition for distributed data processing, data modeling, and system reliability, along with a bachelor's degree or equivalent education, training, and professional experience.
