Data Engineer, AI & Analytics

Design, build, and maintain the core data foundation, owning the workflow from raw platform data through the serving layers. Build ingestion that handles API changes and retroactive restatement of conversion data. Model across sources to reconcile spend, impressions, conversions, and revenue. Collaborate cross-functionally to translate requirements into data solutions and support rapid iteration on new products.

3+ years in data or analytics engineering, including 1+ years owning a dbt project in production. Advanced proficiency in Python and SQL, with a focus on production-grade code. Deep expertise in dbt and strong command of Snowflake. Familiarity with cloud-native infrastructure (GCP) and AI-agentic development workflows.