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.
The Data Team at Weight Watchers is in a key position to shape the future of our business and products. Leveraging tens of billions of data points per year, we produce insights that enable Weight Watchers to better serve our 4 million worldwide members. We are equal partners with our peers in Product, Engineering, Marketing, Finance, and beyond. At Weight Watchers there’s an authentic appetite for data-informed decision-making across the company, and our role is to educate and empower stakeholders by leading with transparency and expanding our stakeholders’ understanding, often of deeply technical concepts.
What you will DoWe are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.
We need an engineer who can adapt to a dynamic product environment, who can ask the ‘why’ behind the ‘what’ to ensure we are building the right solutions. For candidates at the Staff level, we expect a proven track record of setting technical roadmaps and serving as a multiplier for the engineering and analytics teams.
Key Responsibilities- Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.
- Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.
- Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.
- Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.
- End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.
- Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.
- Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.
- Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.
- Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.
- Technical Mastery:
- Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.
- Data Modeling & SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.
- Infrastructure & Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.
- Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.
- Observability & Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.
- Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.
- Education: BS/MS in Computer Science, Information Systems, or a related technical field.
Base salary may vary depending on, but not limited to: skills, experience, and location. This role is also eligible for a comprehensive benefits package and annual bonus program.
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.
It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.
By agreeing to participate in our process, you agree that any information we collect is subject to our Privacy Policy.
At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:
- Verified Email Domain: All official correspondence from our recruiting team will originate from an @ww.com email address.
- Live Engagement: Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.
- Financial Integrity: WeightWatchers will never ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or "start-up kits" on our behalf.
- Secure Data Collection: Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.
Stay Vigilant: If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww
Skills Required
- 5+ years in data engineering
- 2+ years with distributed, large-scale cloud data warehouses
- Proven experience with Snowflake performance optimization
- Deep proficiency in Python
- Expert-level SQL
- Practical experience with CI/CD frameworks
- Experience managing business-critical production pipelines
- BS/MS in Computer Science or related field
WeightWatchers Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WeightWatchers and has not been reviewed or approved by WeightWatchers.
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Wellbeing & Lifestyle Benefits — Wellness-oriented perks are positioned as meaningful additions, including a free membership and wellness programs or stipends that can improve quality of life. Flexibility and remote options are also framed as benefits that partially offset base-pay concerns for some roles.
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Strong & Reliable Incentives — Incentives are occasionally characterized as good in a small set of operational roles, suggesting some pockets where variable rewards feel worthwhile. These instances appear as exceptions rather than the prevailing experience.
WeightWatchers Insights
What We Do
WeightWatchers is a human-centric technology company powered by the world's leading commercial weight management program. For nearly six decades we have inspired millions of people to adopt healthy habits for real life. Through our comprehensive tools, expert Coaches, and community, members follow our proven, sustainable, science-based program focused on weight loss. To learn more about the WeightWatchers approach to healthy living, please visit ww.com. For more information about our global business, visit our corporate website at corporate.ww.com.
Why Work With Us
WW wants people who aren't just looking for a job, but a purpose. We are looking for fearless, results-driven, energetic change makers who see opportunity in every challenge and who truly care about the wellbeing of others.
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