Support AI initiatives at HHMI as an AI Data Engineer in Chevy Chase, MD. This hybrid position requires hands-on data engineering experience to build robust, AI-driven data pipelines.

As an integral member of HHMI, you will implement essential data pipelines to prepare institutional content for AI applications. This role demands collaboration with the Principal Knowledge & Data Architect and AI Developers to ensure quality and governance in the data flows that power AI functionalities. Contribute to HHMI's mission while directly impacting scientific advancements.

Key Responsibilities: • Build AI data pipelines from ingestion to serving content • Implement medallion architecture for data management • Own workflow orchestration with Databricks Workflows • Enforce governance patterns on data assets • Design and operate data quality mechanisms

Requirements: • 4+ years in production data engineering • Proficiency in Databricks and Spark technologies • Robust knowledge of Python and SQL • Experience with AI data engineering fundamentals • Understanding of data governance frameworks

Make a tangible difference in AI-driven science at HHMI, enhancing operational efficiencies. #J-18808-Ljbffr

📌 AI Data Engineer - Hybrid Role at HHMI (Winnipeg)
🏢 HHMI
📍 Winnipeg