
Chief Data Engineer
5 days ago
About this role
We are seeking a highly skilled Data Architect to lead our data engineering efforts. As a critical member of our team, you will be responsible for designing, building, and operating scalable data pipelines that process clinical encounter data.
This role is at the heart of our AI-powered applications, where you will create reliable systems to ingest, track, and update clinical events in real-time, ensuring downstream ML systems receive high-quality, structured data for inference and decision support.
You will work closely with software engineers, ML specialists, and our clinical partners to bring our vision to life.
- Data Pipeline Design: Develop event-driven data pipelines that support real-time clinical workflows, integrating with EHR/EMR systems using standards like FHIR and HL7.
- Pipeline Operations: Establish observability, monitoring, and error handling for robust pipeline performance.
- Data Quality: Ensure high-quality, structured data delivery to downstream ML systems.
- Collaboration: Work with ML engineers to align data flows with model needs, such as document ingestion and inference triggers.
- Requirements:
- 5+ years of experience building and maintaining production-grade data pipelines.
- Strong background in workflow orchestration and event-driven systems.
- Proficiency with relational databases and SQL (e.g., Postgres) as well as handling unstructured data.
- Experience operating in cloud environments and working with distributed, highly available systems.
Bonus Requirements:
- Knowledge of HIPAA and healthcare data security/privacy requirements.
- Familiarity with FHIR/HL7 data modeling in production settings.
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