
Chief Data Infrastructure Specialist
4 days ago
We are seeking a talented Data Engineer to join our team in building data pipelines and integrating healthcare data.
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.
- Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
- Integrate with EHR/EMR systems 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.
You will work closely with software engineers, ML specialists, and our clinical partners to bring our vision to life.
What We're Looking For:
- 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 as well as handling unstructured data.
- Experience operating in cloud environments and working with distributed, highly available systems.
- Track record of delivering data infrastructure that supports ML or analytics applications.
Bonus Requirements:
- Knowledge of HIPAA and healthcare data security/privacy requirements.
- Familiarity with FHIR/HL7 data modeling in production settings.
- Experience supporting machine learning inference pipelines in real-world applications.
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