Analytics Engineer

Contentful Contentful · Enterprise · Denver, CO · IT

This role focuses on building and maintaining scalable data models using dbt and Snowflake to power an analytics foundation. It involves transforming raw data into analytics-ready structures, owning analytics engineering projects end-to-end, and collaborating with various teams to deliver trusted data assets. The role requires strong SQL, dbt, and Snowflake experience, along with data ops practices.

What you'd actually do

  1. Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake.
  2. Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures.
  3. Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring.
  4. Partner with analysts, data scientists, and business teams to define and deliver trusted data assets.
  5. Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake.

Skills

Required

  • SQL
  • dbt
  • Snowflake
  • data modeling
  • version control
  • testing
  • observability practices

Nice to have

  • Tableau
  • Airflow
  • Hightouch
  • Atlan

What the JD emphasized

  • 3+ years in analytics engineering, data engineering, or BI development
  • Proven expertise with SQL to build modular and well-documented data models in dbt
  • Deep knowledge of Snowflake