Software Engineer - Data Platform

About Us

Phare Health is now part of R1 and its AI innovation engine,
R37 Lab
, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S.

At R37 and Phare, we are building the first AI-native Healthcare Revenue Operating System
: a connected platform that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up.

Backed by real customers, real data, and real distribution, we operate on a national scale. Our agentic AI systems already power production workflows across 95 of the top 100 U.S. health systems
, processing hundreds of millions of patient encounters each year, including:

• 180M+ Claims

• 550M+ Patient encounters

• 1.2B+ Workflow actions and outcomes each year

This is startup-level ownership with enterprise-level impact. If you want to build AI that ships, scales, and measurably improves how healthcare works, this is the place to do it.

You’ll own the data foundations of the Phare stack, including the backend schemas and APIs that power both the AI engine and the user-facing application. You will work on reliable systems for ingesting, transforming, and serving large-scale healthcare data, ensuring high performance, observability, and security/compliance.

We are hiring across several seniority levels ranging from Mid-level up to Staff. At a minimum, we would expect 5 years of software engineering experience with 2 years working with high-throughput data pipelines.

This is an in-person role in NYC, requiring at least 3 days in the SoHo office.

You have worked on the data backend behind a production-grade ML system and/or a user-facing SaaS application.

Additionally, you are:

• Experienced in architecting and building microservices and ETL pipelines in Python, Go, or Java

• Experienced building and managing infrastructure with Terraform, Docker, and Kubernetes

• Strong with Spark, Airflow, or Kafka for orchestrating and streaming data flows; comfortable managing dependencies, scheduling, and state in complex workflows

• Adept at implementing observability and reliability practices, instrumenting pipelines with logs and metrics to detect drift, latency, and data quality issues before they impact users

• Bonus:
  Experience with healthcare data (FHIR, HL7)

We are looking for candidates at various levels with this type of experience, ranging from L2 (Mid-Level) to L4 (Staff).

• L2: Independently delivers a complete end-to-end project, owning design, implementation, and delivery of scoped work

• L3: Leads delivery of larger projects, handling increased technical complexity and ambiguity, providing light guidance to L2s on shared work

• L4: Leads teams or major cross-functional initiatives while managing a portfolio of projects aligned to key technical goals

• Top-of-market compensation (salary + equity)

• Flexible PTO

• Hybrid in-office (min. 3 days per week)

• Comprehensive health benefits

• 401(k) matching

• Inspiring, brilliant, mission-driven teammates

• Intro call - your background & our mission alignment

• Technical deep-dives - pseudo-coding exercise and systems design (not Leetcode)

• Culture interview in person in NYC

• References

• Offer

As part of our hiring process, selected candidates will participate in an in-person interview. Candidates located near one of our talent hubs—San Francisco, New York, Austin, or Chicago—will be scheduled to meet with team members in those locations. For candidates residing outside these areas, we will arrange travel to a hub for the interview. Travel accommodation will be provided as needed.

We are committed to providing equal employment opportunities and ensuring a fair and inclusive experience for all applicants.

For this US-based position, the base pay range is $-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.

This job is eligible to participate in our annual bonus plan.

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find…