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ResMed

Lead Engineer, Data Engineering

ResMed, San Diego, California, United States, 92189

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Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. 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.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

Global Technology Solutions (GTS) at ResMed is a division dedicated to creating innovative, scalable, and secure platforms and services for patients, providers, and people across ResMed. 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.

The strategy of GTS focuses on aligning goals and promoting collaboration across all organizational areas. This includes fostering shared ownership, developing flexible platforms that can easily scale to meet global demands, and implementing global standards for key processes to ensure efficiency and consistency.

Lead Engineer (Data Engineering)

At

Resmed , we don't just build technology, we create solutions that transform lives. As a global leader in connected devices and digital health, we empower millions of people worldwide to sleep, breathe, and live better lives.

We are looking for a

dynamic and experienced Lead Engineer

to spearhead cutting-edge data solutions that will define the next generation of healthcare technology. If you thrive in a fast-paced, innovative environment and have a passion for data engineering, cloud computing, and large-scale analytics, we want to hear from you!

About the Team

Join

Analytics Engineering

within the

Global Data Platform -an ambitious team dedicated to designing and delivering impactful data solutions across Resmed. We work closely with business stakeholders to develop high-quality analytics engineering products that fuel data-driven decision-making.

What You'll Do As a

Lead Engineer , you will be at the forefront of ResMed's data strategy, driving the architecture and development of large-scale data processing systems and business intelligence applications. Your key responsibilities include:

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. What We're Looking For Must-Have Qualifications:

Bachelor's degree in a

STEM field . 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. Preferred Qualifications:

Experience with dbt

, Dagster, and Snowflake . Master's degree in a STEM field . 12+ years

of related experience in data science or data engineering

We are shaping the future at ResMed, and we recognize the need to build on and broaden our existing skills and continue to attract and retain the world's best talent. 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. 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. Employees have flexible time off (FTO), receive 11 paid holidays plus 3 floating days and are eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave when welcoming new family members.

Individual pay decisions are based on a variety of factors, such as the candidate's geographic work location, relevant qualifications, work experience, and skills.

At ResMed, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current base range for this position is: Total Base Pay Range$171,000.00 -$257,000.00 USD Annual.

Joining us is more than saying "yes" to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.