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1 day ago
Job Title: Healthcare Data Infrastructure Architect
About the RoleAs a key member of our AI engineering team, you will be responsible for designing, building, and operating scalable data pipelines that support real-time clinical workflows. You will work closely with software engineers, ML specialists, and clinical partners to bring our vision to life.
Key Responsibilities:- Design and develop event-driven data pipelines that integrate with EHR/EMR systems using standards like FHIR and HL7.
- Develop reliable systems to ingest, track, and update clinical events in real-time, ensuring high-quality, structured data for downstream ML systems.
- Collaborate with ML engineers to align data flows with model needs and continuously improve pipeline design to maximize scalability, resilience, and automation.
- 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.
- Experience operating in cloud environments and working with distributed, highly available systems.
- Track record of delivering data infrastructure that supports ML or analytics applications.
- Excellent communication and collaboration skills.
We seek individuals who are passionate about leveraging data to drive business outcomes and have a strong desire to learn and grow with our organization. If you are a skilled data engineer with a passion for healthcare and AI, we encourage you to apply.
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