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Lead Engineer, Data Engineering

ResMed

$171,000 - $257,000
Oct 27, 2025
San Diego, CA, US
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ResMed's Global Technology Solutions (GTS) division aims to accelerate well-being and growth by transforming core operations, enabling better patient, people, and partner outcomes, and building future-ready operations through innovative, scalable, and secure platforms and services. The Lead Engineer (Data Engineering) will spearhead cutting-edge data solutions to define the next generation of healthcare technology.

Requirements

  • 10+ years of experience with SQL on large-scale analytics platforms.
  • 10+ years in software development, including crafting requirements, coding, and testing.
  • 6+ years of hands-on experience with Python, version control systems, and data pipelines.
  • 5+ years managing GitHub repositories and deploying cloud infrastructure using Terraform.
  • 3+ years of hands-on experience with using statistical methods, machine learning, or artificial intelligence to provide business insights or automate workflows.
  • Experience with dbt, Dagster, and Snowflake.

Responsibilities

  • Architecture – you’ll join a core team that leads critical data architecture design and development activities for our platforms.
  • Real-time Analytics & Streaming – architect and build data solutions using Kafka and Flink to support real-time decision-making across the organization.
  • Large-Scale Data Warehouse Development – craft sophisticated data models using sql and dbt on our Snowflake Platform.
  • Data products – lead the development of data products and services including dimensional data models, semantic layers used to drive business intelligence, predictive models, and recommender systems.
  • Leadership & Mentorship – Lead a functional team, guiding junior engineers and championing best practices in engineering and data strategy.

Other

  • Bachelor’s degree in a STEM field.
  • Master’s degree in a STEM field.
  • 12+ years of related experience in data science or data engineering
  • Employees scheduled to work 30 or more hours per week are eligible for benefits.
  • This position qualifies for the following benefits package: 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.