Software Engineer - Data Platform

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.

- 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

For this US-based position, the base pay range is $120,000.00-$300,000 per year. Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.