Analytics Engineer

Data Architecture & Strategic Impact

In this role, you will serve as a bridge between raw information and executive decision-making. You will be responsible for crafting the data models that define how the entire organization understands its performance. By utilizing dbt and Snowflake, you’ll build a scalable backbone for analytics, transforming complex datasets into clean, reliable sources of truth for stakeholders across the company.

Modern Stack & Automation Focus

This is a position designed for those who despise manual repetition. You will spend your time hardening analytics through automated tests, CI/CD pipelines, and sophisticated SQL transformations. The environment is explicitly AI-forward, looking for engineers who can leverage modern tools and agentic frameworks to streamline the data engineering lifecycle while maintaining the highest standards of data integrity.

What You’ll Bring

• SQL Mastery: Advanced knowledge of complex joins and analytical functions.
• Modeling Expertise: Proven experience with dimensional modeling and dbt production environments.
• Python & Analysis: Ability to handle data munging using Pandas, Polars, or Jupyter Notebooks.
• AI Literacy: An interest in using AI tools and agentic harnesses to enhance productivity and solve technical puzzles.