We are looking for a Senior Data Platform Engineer to help build and scale the next generation of ResMed's data ecosystem. As a global leader in connected devices and digital health, we empower millions of people worldwide to sleep, breathe, and live better lives.
Requirements
- Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Python, SQL, Spark, APIs, and modern cloud-native tools.
- Develop high-quality analytics and data models in Snowflake using dbt or similar frameworks, with a focus on performance, correctness, and maintainability.
- Apply strong software engineering practices to data systems, including modular design, testing, code reviews, and version control.
- Implement automation, monitoring, and observability to ensure reliable and resilient data pipelines in production.
- Collaborate closely with product managers, analytics engineers, data scientists, and application engineers to deliver data products that drive business and clinical outcomes.
- Support advanced analytics and ML use cases by building feature pipelines and data foundations for classical ML models and emerging AI-driven workloads.
- Contribute to shared standards, patterns, and best practices across the data engineering organization through hands-on contributions and technical collaboration.
Benefits
- Comprehensive medical, vision, dental, and life
- AD&D, short-term and long-term disability insurance
- Sleep care management
- Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Commuter benefits
- 401(k)
- Employee Stock Purchase Plan (ESPP)
- Employee Assistance Program (EAP)
- Tuition assistance