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Chief Data Pipeline Architect
3 weeks ago
We are seeking a highly skilled Senior Data Engineer with expertise in designing, building, and operating scalable data pipelines that support real-time clinical workflows.
The ideal candidate will have 5+ years of experience building and maintaining production-grade data pipelines, strong background in workflow orchestration and event-driven systems, and proficiency with relational databases and SQL as well as handling unstructured data.
The selected individual will be responsible for integrating with EHR/EMR systems, developing reliable systems to ingest, track, and update clinical events in real-time, and ensuring downstream ML systems receive high-quality, structured data for inference and decision support.
The Senior Data Engineer will also establish observability, monitoring, and error handling for robust pipeline performance, collaborate with ML engineers to align data flows with model needs, and continuously improve pipeline design to maximize scalability, resilience, and automation.
Key Responsibilities:
- Design, build, and operate scalable 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.
- 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.
Requirements:
- 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.
- Excellent communication and collaboration skills.
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.
- Expertise with image data.
- Exposure to vector databases, embedding stores, or document retrieval systems.
- Background in healthcare IT, clinical workflows, or health data analytics.
