> Markdown version of [/jobs/ext/1507604-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1507604-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Weight Watchers - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $155,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, ARM Architecture, Cloud Database, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Integrity, Data Security, Data Warehousing, Github, Python (Programming Language), Octopus Deploy, Performance Tuning, Software Engineering, SQL Databases, Workflow Management Systems, Datadog, Data Processing, Snowflake, Integration Tests, Information Technology, Looker Analytics, Data Pipelines - **Published:** July 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f997cdf7957716fa ## About the Role * 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. ## Description * 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., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)