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
• Solid 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.
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📌 AI Data Engineer - Hybrid Role at HHMI (British Columbia)
🏢 HHMI
📍 British Columbia