AI Data Engineer - Hybrid Role at HHMI

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
• • Strong 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.