Hybrid Senior Data Engineer — Snowflake & Python Scale

Weight Watchers

United States

Hybrid

USD 155,000 - 175,000

Full time

2 days ago
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Job summary

Weight Watchers in the United States 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 to support dynamic analytics and our transition toward automated, self-service data workflows.

This role requires deep Python expertise, SQL mastery, and experience building resilient ELT pipelines, modern CI/CD, and orchestration tools.

Qualifications

  • 5+ years in data engineering, with at least 2+ years in distributed, large-scale cloud data warehouses.
  • Snowflake optimization and cost-governance experience; Cortex/MCP is a plus.
  • Advanced Software Engineering with Python; modular, testable code.
  • Expert-level SQL and data warehousing methodologies for scalable analytics layers.
  • CI/CD frameworks (GitHub Actions, Argo CD) to drive velocity and stability.
  • Orchestration with Prefect or Airflow for complex pipelines and dependencies.
  • Observability with Datadog to maximize uptime and reduce alert fatigue.
  • Operational maturity: production pipelines uptime, data quality, SLAs.
  • BS/MS in Computer Science, Information Systems, or related technical field.

Responsibilities

  • Data Enablement: develop Looker views and self-service capabilities to reduce reporting bottlenecks.
  • Pipeline Architecture: design, build, and scale resilient ELT pipelines.
  • Cross-Functional Collaboration: partner with Finance, Product, and Analytics to solve right problems.
  • Data Modeling: build analytics schemas (Star Schemas) for user-friendly datasets.
  • End-to-End Ownership: lead projects from inception to production with data integrity in mind.
  • Operational Excellence: monitor production health with Datadog and other tools to ensure reliability.
  • Technical Leadership: conduct code reviews and promote best practices.

Skills

Python
Snowflake
SQL
Data modeling
CI/CD
Airflow/Prefect
Datadog

Education

BS/MS in Computer Science or related field

Tools

GitHub Actions
Argo CD
Prefect
Airflow

Job description

Weight Watchers in the United States 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 to support dynamic analytics and our transition toward automated, self-service data workflows.

This role requires deep Python expertise, SQL mastery, and experience building resilient ELT pipelines, modern CI/CD, and orchestration tools.

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