Key skills
AirflowDockerETLJavaKafkaKubernetesMicroservicesPythonSparkTerraformGoAIAnalytics
About this role
Role Overview
- 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)
Tech Stack
- Airflow
- Docker
- ETL
- Java
- Kafka
- Kubernetes
- Microservices
- Python
- Spark
- Terraform
- Go
Benefits
- Competitive benefits package
- Eligible for annual bonus plan at a target of 30%