Data Engineer

5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.

A passion for the company's mission of building helpful, honest, and harmless AI.

Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.

Expertise in SQL and Python to transform data into accurate, clean data models.

Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.

Experience building an Analytics Data Engineering (or similar) function at start-ups.

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization.

You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights.

You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth.

You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.

Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements

Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets