
Highly Skilled Data Pipelines Architect
7 hours ago
About the Role
We are seeking an experienced Senior Data Engineer with in-depth expertise in building data pipelines and integrating healthcare data. You will report to the Head of AI 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 closely with software engineers, ML specialists, and clinical partners to bring our vision to life.
What We Do
- Design, build, and operate event-driven data pipelines that support real-time clinical workflows.
- Integrate with electronic health record (EHR) 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.
Required Skills and Qualifications
We are looking for candidates with 5+ years of experience building and maintaining production-grade data pipelines. You should have a strong background in workflow orchestration and event-driven systems, proficiency with relational databases and SQL, and experience operating in cloud environments and working with distributed systems. A track record of delivering data infrastructure that supports ML or analytics applications is essential.
Bonus Requirements
Candidates with knowledge of HIPAA and healthcare data security/privacy requirements, familiarity with FHIR/HL7 data modeling in production settings, experience supporting machine learning inference pipelines, and exposure to vector databases, embedding stores, or document retrieval systems will be considered.
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