
Chief Data Pipeline Architect
15 hours ago
About Our Data Engineering Role
We are seeking a highly skilled Senior Data Engineer with expertise in building scalable, event-driven data pipelines and integrating healthcare data.
- Design and implement efficient data pipelines to support real-time clinical workflows.
- Integrate with Electronic Health Record (EHR) systems using standards like FHIR and HL7.
- Develop robust systems to ingest, track, and update clinical events in real-time.
- Evaluate and ensure high-quality, structured data is received by downstream Machine Learning (ML) systems for inference and decision support.
Key Responsibilities:
- Collaborate with cross-functional teams to design and develop innovative solutions.
- Establish robust monitoring and error handling mechanisms for pipeline performance.
- Continuously evaluate and improve pipeline design to maximize scalability, resilience, and automation.
Requirements:
- At least 5 years of experience designing and implementing production-grade data pipelines.
- Strong background in workflow orchestration and event-driven systems.
- Proficiency in relational databases and Structured Query Language (SQL).
- Experience operating in cloud environments and working with distributed systems.
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