Senior Data Engineer: Scale & Automate Cloud Analytics

Weight Watchers; United States; Hybrid; USD 155,000 - 175,000; Full time

Benefits offered by this job

Comprehensive benefits package

Annual bonus program

Hybrid work environment

Job summary

WeightWatchers is 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 core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

The role requires 5+ years in data engineering, Snowflake optimization, and experience with CI/CD and orchestration tools.

Qualifications

• 5+ years of experience 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.
• Advanced Software Engineering (Python): write modular, reusable, and testable code for complex data processing.
• Data Modeling & SQL Mastery: expert SQL and data warehousing methodologies for performant analytics layers.
• Infrastructure & Automation: experience with CI/CD frameworks (GitHub Actions, Argo CD).
• Workflow Orchestration: architecture and scaling with Prefect or Airflow.
• Observability & Reliability: using Datadog to maximize uptime and reduce alert fatigue.
• Operational Maturity: manage production pipelines with uptime, data quality, and SLAs.
• Education: BS/MS in Computer Science, Information Systems, or related field.

Responsibilities

• Data enablement: develop core Looker views and data infrastructure for self-service analytics.
• Pipeline architecture: design, build, and scale ELT pipelines.
• Cross-functional collaboration: partner with Finance, Product, and Analytics.
• Data modeling: build analytics schemas including Star Schemas.
• End-to-End ownership: lead projects from inception to production with data integrity.
• Operational excellence: monitor production health and reliability.

Skills

5+ years data engineering

Python

SQL

Data modeling

Cloud data warehouses

Education

BS/MS in Computer Science/Info Systems

Tools

Snowflake

GitHub Actions

Argo CD

Airflow

Prefect

Datadog

Job description

WeightWatchers is 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 core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

The role requires 5+ years in data engineering, Snowflake optimization, and experience with CI/CD and orchestration tools.