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Analytics Engineer II

Whoop LogoWhoop
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Salary

$125,000 - $175,000

Location

Boston, MA

Posted

Today

Develop, optimize, and maintain dbt models across WHOOP's Snowflake data warehouse, following established patterns and coding standards.

Responsibilities

  • Execute on database restructuring initiatives — migrating domain-specific schemas into purpose-built databases to improve data governance and role-based access control.
  • Implement and maintain data quality tests and documentation within dbt, ensuring models are reliable, well-documented, and discoverable.
  • Partner with Analytics teams to understand data requirements and translate them into performant, accurate transformation logic.
  • Collaborate with Data Engineering on data ingestion improvements, source freshness monitoring, and warehouse optimization.
  • Support the team's data governance goals, including maintaining consistent naming conventions, enforcing data contracts, and managing database roles and grants.
  • Apply software engineering best practices to analytics code, including version control (Git), code review, testing, and continuous integration.
  • Build domain expertise in assigned business areas, becoming the technical point of contact for data models and workflows in those domains.

Qualifications

  • 2-4 years of experience in analytics engineering, data engineering, or business intelligence with hands-on dbt experience.
  • Strong SQL skills, particularly within Snowflake or comparable cloud data warehouses.
  • Experience with dbt in a production environment — building models, writing tests, maintaining documentation, and working across multiple environments.
  • Working knowledge of Git and version control workflows (branching, pull requests, code review).
  • Familiarity with dimensional data modeling concepts and schema design best practices.
  • Detail-oriented with the ability to follow established patterns and execute on well-defined technical plans.

Nice to have

  • Experience with Snowflake-specific features
  • Familiarity with BI tools such as Sigma.
  • Knowledge of Python for data transformation or automation tasks.
  • Experience with CI/CD pipelines for dbt (e.g., CircleCI, GitHub Actions, dbt Cloud).
  • Prior exposure to subscription/SaaS business models or consumer health/fitness data.

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