Software Engineer - Data Platform
Role Overview
This role involves owning the data foundations of the Phare stack, including backend schemas and APIs that power AI engines and user-facing applications. As a mid to staff-level software engineer, you will build and maintain reliable systems for ingesting, transforming, and serving large-scale healthcare data, focusing on performance, observability, and security. Your work ensures the platform handles high-throughput data pipelines efficiently, directly impacting healthcare billing and reimbursement processes.
Perks & Benefits
The position offers top-of-market compensation with salary and equity, flexible PTO, and comprehensive health benefits including 401(k) matching. It is a hybrid remote role requiring at least 3 days per week in the NYC SoHo office, with no explicit time zone expectations mentioned. You'll join a mission-driven team with inspiring colleagues, fostering a culture focused on innovation in healthcare technology.
Full Job Description
About Phare & R1
Phare is building healthcare’s first Revenue Operating System - a platform that uses AI to make hospital billing and reimbursement effortless, accurate, and fair. We recently became part of R1, one of the largest companies managing healthcare claims which serves hundreds of systems around the country. This gives us the best of both worlds: the DNA of an AI startup paired with the scale of a healthcare organization that supports care delivery for hundreds of healthcare systems nationwide. Join us on our mission to build a fairer, faster model for healthcare payments.
The Role
You’ll own the data foundations of the Phare stack - 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.
About you
You have worked on the data backend behind a production-grade ML system and/or a user-facing SaaS application. 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)
Benefits
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
Hiring Flow
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
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