Staff Cloud Database Engineer
Confirmed live in the last 24 hours
WW
Compensation
$175,000 - $195,000/year
Job Description
WeightWatchers is a global digital health company.
WeightWatchers is a global digital health company and the world’s #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.
As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing new clinical pathways for GLP-1 medication access, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.
Who We Are
At WeightWatchers, our Engineering Team drives transformative change by leveraging technology to redefine how millions approach weight health and wellness. The team builds digital solutions that establish personalized connections and foster inclusive virtual communities, empowering members to adopt healthier habits and achieve lasting lifestyle changes. From pioneering a comprehensive telehealth platform, optimizing medication access, diving headfirst into exciting AI integrations we lead with data-driven innovations that revolutionize healthcare outcomes. Our culture thrives on urgency, collaboration, and a passion for impactful work that directly improves the lives of our members.
What You Will Do
We are seeking an adaptable and experienced Cloud Database Engineer with strong expertise in cloud-hosted database platforms and database-as-a-service. The ideal candidate will have deep experience with open-source database technologies (PostgreSQL, MySQL, MongoDB, and cloud-native databases) and thrive in a collaborative, peer-driven environment.
This is an opportunity to design, develop, and manage enterprise-level database systems with complex interdependencies, focusing on hig
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