Senior Data Platform Engineer

ResMed

San Diego, CA, United States
Base: $143,000 - $215,000; bonus/equity: not speci...
Build and scale data ecosystem
Design, build, operate data systems
Python, sql, spark, apis
The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations

Job Summary

  • The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.
  • As a Senior Data Platform Engineer, you will be responsible for delivering robust, production-grade data solutions and contributing to the technical excellence of ResMed’s data platform.
  • We work hard to offer holistic benefits packages, provide flexible work arrangements, cultivate a workforce culture that allows employees to grow personally and professionally, and deliver competitive salaries to our team members.

Matching Summary

The primary goal of GTS is to accelerate well-being and growth by transforming the core, enabling patient, people, and partner outcomes, and building future-ready operations.

Salary

Base: $143,000 - $215,000; Bonus/Equity: Not specified; 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), and tuition assistance.

Skills & Requirements

Must-have

  • Build and scale data ecosystem
  • Design, build, operate data systems
  • Python, SQL, Spark, APIs
  • Snowflake with dbt
  • Software engineering practices
  • AWS cloud-native architectures
  • CI/CD pipelines with GitHub Actions

Nice-to-have

  • Workflow orchestration tools
  • Streaming or event-driven systems
  • Support ML/AI workflows
  • Healthcare or regulated environments

Key Requirements

  • Bachelor’s degree in STEM or equivalent experience
  • 5-8+ years data engineering experience
  • Strong SQL and data modeling
  • Experience with Python and cloud services
  • Proficiency with dbt
  • Solid software engineering fundamentals
  • Git/GitHub workflows experience
  • CI/CD pipeline experience
  • Experience with AWS data services

Work Rights

Not specified

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