Building and operating data services and pipelines for a healthcare AI platform. Developing systems for large-scale healthcare data to ensure high performance and compliance.
Responsibilities
Build and operate 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
Own backend interfaces that power analytics and model workloads
Work across streaming, storage, and application layers to keep data flowing safely and efficiently
Requirements
At least 5 years of engineering experience with at least 2 years on production data pipelines/platforms
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
Adept at implementing observability and reliability practices
Bonus: Experience with healthcare data (FHIR, HL7)
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