Weight Watchers is the global leader in science-backed weight management, offering an integrated support system built for the GLP-1 era that combines scientific expertise, medication, cutting-edge technology, and human connection. With more than 60 years of experience, Weight Watchers is the most studied commercial weight management program in the world, delivered through its No. 1 U.S. doctor-recommended weight-loss program. Its holistic, personalized approach also includes U.S.-based clinical interventions and access to GLP-1 medications when clinically appropriate, and a global network of coaches and community support. Since 1963, the company has led with science to deliver its members the personalized support they need to reach and sustain their goals. Members can access these solutions directly, or through Weight Watchers for Business’ full-spectrum platform for employers, health plans, and payers. In a landscape crowded with contradictory advice, isolating apps, and one-size-fits-all solutions, Weight Watchers offers a proven path forward that is rooted in research, grounded in empathy and designed to help every member feel better in their body and live a longer, healthier life.
We are seeking a seasoned Senior 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.
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.
At WW, cultivating a diverse and inclusive workplace is a priority. 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 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
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