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Software Engineer - Data Platform

Job in New York, New York County, New York, 10261, USA
Listing for: Phare Health
Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

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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