
Chief Data Architect
3 days ago
We are seeking a skilled Data Engineer to design and implement scalable data pipelines that support real-time clinical workflows.
About the Role
The ideal candidate will have expertise in building and maintaining production-grade data pipelines, workflow orchestration, and event-driven systems. They should also be proficient in relational databases and SQL, as well as handling unstructured data.
- Design, build, and operate scalable data pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.
- 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.
- 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; able to drive projects independently while working as part of a cross-functional team.
This is an exciting opportunity for a skilled Data Engineer to join our team and contribute to the development of innovative data solutions.
If you are passionate about data engineering and want to make a difference in the healthcare industry, we encourage you to apply for this role.
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