Join our team and contribute to the responsible leverage of health data for innovation, unlocking vast potential with AI, data enablement, and interoperability.
Requirements
- Degree in computer science, computer engineering or related field
- 10+ years designing and delivering large-scale, data-intensive platforms
- Deep expertise in data architecture, including streaming pipelines, complex transformations, and distributed processing
- Strong understanding of event-driven architectures and data-centric microservices
- Hands-on experience with cloud-native data platforms, including services such as Pub/Sub, Dataflow, BigQuery, Kafka, Flink, PySpark and BigQuery
- Experience designing systems where data scale, correctness, latency, and reliability are critical
- Modern development practices and experience with AI-assisted coding and productivity tools
- Strong grasp of data governance, security, and privacy in regulated environments
Benefits
- Comprehensive health and dental benefits
- Generous pension plan
- Flexible work arrangements