Lead Data Pipeline Engineer

About the Role

We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data. You will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI-powered applications. This is a critical role where you will create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference. You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.

What you’ll do

• Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
• Integrate with EHR / EMR systems (e.G., Epic) using standards such as FHIR and HL7 .
• Develop reliable systems to ingest, track, and update clinical events in real-time
• Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
• Establish observability, monitoring, and error handling for robust pipeline performance.
• Collaborate with ML engineers to align data flows with model needs (e.G., document ingestion, embedding storage, inference triggers).
• Continuously improve pipeline design to maximize scalability, resilience, and automation .

What we’re looking for

able to drive projects independently while working as part of a cross-functional team.

Bonus