Software Engineer - Data Platform

R37 Lab, R1 RCM•New York, NY

1d•$120,000 - $300,000•Onsite

About The Position

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.

Requirements

Worked on the data backend behind a production-grade ML system and/or a user-facing SaaS application.
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
Minimum 5 years of software engineering experience
Minimum 2 years working with high-throughput data pipelines

Nice To Haves

Experience with healthcare data (FHIR, HL7)

Responsibilities

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.
Work on reliable systems for ingesting, transforming, and serving large-scale healthcare data.
Ensure high performance, observability, and security/compliance of data systems.