AI Data Engineer — Build AI-Ready Data Pipelines
howard hughes medical institute hhmiChevy Chase (MD)
AI Data Engineer — Build AI-Ready Data Pipelines
Posted yesterday
howard hughes medical institute hhmiChevy Chase (MD)
Data Warehousing SpecialistsComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
SENIORITY
Lead
About the role
Howard Hughes Medical Institute (HHMI) is seeking an AI Data Engineer to build and operate production data pipelines that support AI-driven workflows across HHMI’s administrative and research-facing platforms. You will own end-to-end data engineering, from ingestion to governance, leveraging Databricks, Delta Lake, and Unity Catalog to deliver governed, AI-ready data.
The role emphasizes hands-on pipeline development, medallion architecture, and retrieval-oriented infrastructure, collaborating
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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