Senior Data Engineer

About the Role

We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data. You will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI-powered applications. 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 our machine learning systems for inference. You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.

What you’ll do

• 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

  .

What we’re looking for

• 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

• 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.