Data Engineer

Join our Data Science & Analytics team as an Analytics Engineer. You will collaborate with key stakeholders to build scalable solutions for data transformation and reporting. Your responsibilities will include managing data pipelines, establishing data integrity standards, developing dashboards, and influencing the future roadmap of our Product and GTM teams. You should have at least 5 years of experience in a similar role, expertise in SQL and Python, and a passion for building helpful, honest, and harmless AI.

• Collaborate with key stakeholders to build scalable solutions for transforming data into key metrics reporting and insights.
• Lead projects to enable self-serve insights, ensuring teams have access to reliable, accurate metrics that can scale with the company's growth.
• Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets, establishing high data integrity standards.
• 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
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
• A passion for the company's mission of building helpful, honest, and harmless AI
• Expertise in SQL and Python to transform data into accurate, clean data models
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
• A bias for action and urgency, not letting perfect be the enemy of the effective
• Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
• Experience building an Analytics Data Engineering (or similar) function at start-ups
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work