Unlocking Healthcare Insights

17 hours ago


Pune, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 18,00,000

**Job Opportunity: Senior Data Engineer**

We are seeking a highly skilled Senior Data Engineer to lead the development and operation of scalable data pipelines that support real-time clinical workflows.

This critical role requires collaboration with software engineers, ML specialists, and clinical partners to design and build event-driven data pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to machine learning systems for inference.

  • Design, build, and operate large-scale data pipelines that ensure timely delivery of high-quality, structured data for downstream machine learning systems.
  • Integrate electronic health record (EHR) systems using industry standards like FHIR and HL7.
  • Develop robust systems to ingest, track, and update clinical events in real-time.
  • Ensure alignment between data flows and model needs through close collaboration with ML engineers.
  • Continuously improve pipeline design to maximize scalability, resilience, and automation.

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.
  • 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 machine learning or analytics applications.
  • Excellent communication and collaboration skills; able to drive projects independently while working as part of a cross-functional team.

Bonus qualifications include:

  • 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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