Bayesian Health

Senior Software Engineer, Data Platform

Bayesian Health

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSCloudPython

About the role

  • Rapidly growing startup mission: make healthcare proactive by empowering clinicians with real-time data to save lives.
  • Lead development of data infrastructure, pipelines, and tools to enable research and real-time production applications for clinical AI/ML modules.
  • Build robust infrastructure for storing large volumes of data and supporting complex queries for production, research, and analytics.
  • Design, implement, and deploy reliable data pipelines and services integrating with EHR systems using FHIR and HL7.
  • Ensure secure transfer and storage of sensitive data (PII/PHI) in compliance with HITRUST and SOC2.
  • Collaborate closely with Product, Clinical, and Data Science teams to align and deliver impactful technology that saves lives.

Requirements

  • BS in Computer Science or other relevant technical discipline.
  • 5+ years of experience building and maintaining highly scalable, reliable production data systems on a cloud platform (preferably AWS).
  • Deep knowledge of modern data platform technologies: cloud-based data storages and warehouses, real-time streaming and batch processing, transformation frameworks (e.g., dbt), workflow orchestration tools, and integration with existing infrastructure.
  • Proficient in Python.
  • Experience working with sensitive data containing PHI/PII.
  • Excellent communication skills and proven ability to collaborate with cross-functional teams (product, data science).
  • Preferred: experience leveraging LLMs in distributed data systems.
  • Preferred: experience with health data, EHR integration, and health IT interoperability standards (FHIR, HL7).
  • Preferred: experience handling ambiguity in a startup environment.