
Data Pipeline Architect
2 days ago
Job Title: Senior Data Engineer
About the RoleWe are seeking a seasoned professional to build data pipelines and integrate healthcare data.
This role is critical in creating scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to machine learning systems for inference.
You will work closely with software engineers, ML specialists, and clinical partners to bring our vision to life.
Key Responsibilities:- Design, build, and operate event-driven data pipelines that support real-time clinical workflows.
- Integrate with electronic health record (EHR) and electronic medical record (EMR) systems using standards such as Fast Healthcare Interoperability Resources (FHIR) and Health Level Seven International (HL7).
- Develop reliable systems to ingest, track, and update clinical events in real-time.
- Ensure downstream machine learning 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.
- Continuously improve pipeline design to maximize scalability, resilience, and automation.
To be successful in this role, you will need:
- 5+ years of experience building and maintaining production-grade data pipelines.
- A 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.
- A track record of delivering data infrastructure that supports machine learning or analytics applications.
- Excellent communication and collaboration skills.
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