Senior Health Data Infrastructure Specialist

1 week ago

Aligarh, Uttar Pradesh, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 1,80,000

About the Role

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As a Senior Data Engineer, you will play a critical role in designing and building scalable data pipelines that support real-time clinical workflows. These pipelines must process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

The ideal candidate will have deep expertise in workflow orchestration and event-driven systems. You should be proficient in relational databases and SQL (e.g., Postgres) as well as handling unstructured data. Additionally, experience operating in cloud environments and working with distributed, highly available systems is essential.

This role requires excellent communication and collaboration skills, as you will work closely with software engineers, ML specialists, and clinical partners to bring our vision to life. The successful candidate will also have a track record of delivering data infrastructure that supports ML or analytics applications.

Responsibilities:
  • Design, build, 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 (e.g., document ingestion, embedding storage, inference triggers).
  • 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 (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; able to drive projects independently while working as part of a cross-functional team.
Bonus 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.
  • Expertise with image data.
  • Exposure to vector databases, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

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