Software Engineer - Data Platform
About The Position
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’re 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 infrastructure of a healthcare organization that supports care delivery every day. Together, we’re turning decades of operational expertise into intelligent systems that learn, adapt, and act - helping hospitals get paid correctly so they can focus on care. The Role You’ll build and operate the services and pipelines that move data through Phare’s AI and product stack. You’ll develop reliable systems for ingesting, transforming, and serving large-scale healthcare data, ensuring high performance, observability, and compliance. You’ll own the backend interfaces that power analytics and model workloads, working across streaming, storage, and application layers to keep data flowing safely and efficiently. This is an in-person role in NYC requiring at least 3 days in the SoHo office. About you At the Senior level, you have at least 5 years of engineering experience with at least 2 years directly working on production data pipelines/platforms.
Requirements
- 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.
Nice To Haves
- Experience with healthcare data (FHIR, HL7)
Responsibilities
- build and operate the services and pipelines that move data through Phare’s AI and product stack
- develop reliable systems for ingesting, transforming, and serving large-scale healthcare data, ensuring high performance, observability, and compliance
- own the backend interfaces that power analytics and model workloads, working across streaming, storage, and application layers to keep data flowing safely and efficiently
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
