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.