
Chief Data Pipeline Architect
1 day ago
We are seeking a Senior Data Engineer to design, build, and operate scalable data pipelines.
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 machine learning systems for inference.
Your Responsibilities- Design and operate scalable, event-driven data pipelines that support real-time clinical workflows.
- Integrate with EHR/EMR systems (e.g., Epic) 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.
- 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 (e.g., Postgres) 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.
- 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.
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