Data Engineer

Data Engineer $150,000 - $185,000 + Equity + 401K + PTO + Healthcare Benefits San Francisco, CA - Hybrid (4 days/week in-office) Are you a Data Engineer with a passion for building reliable data infrastructure and uncovering business insights and are looking to join a high-growth AI startup in the heart of San Francisco, helping shape data strategy and systems from the ground up?

This is an exciting opportunity to join a fast-growing series B AI startup backed by top-tier investors.

The team is pioneering new capabilities in no-code AI agents that can collaborate across channels like email, Slack, and Zoom—handling open-ended tasks in dynamic environments whilst learning and improving over time.

As a Data Engineer, you’ll own the end-to-end design and maintenance of scalable ETL pipelines, real-time data warehouses, and automated data quality systems.

You’ll build dashboards and analytics tools to track key metrics, partner with leadership to inform product decisions, and lead A/B testing and self-serve analytics efforts This is a high-impact, hands-on role for data engineers who thrive on ownership, clarity, and shipping production-grade infrastructure that drives meaningful business outcomes and real-world impact.

The RoleArchitect and implement scalable ETL pipelines for customer usage data and product analyticsBuild and maintain robust data warehouses supporting real-time and batch use casesDesign automated data quality checks, monitoring, and alerting systemsCreate dashboards and reporting tools to track core business and product KPIsPartner with product and engineering to instrument new features for analytics The PersonPrevious experience in data engineeringExpert-level SQL skills and strong grasp of modern data warehouses (e.g., Snowflake, BigQuery)Hands-on with ETL tools like Fivetran or Airbyte, and transformation frameworks like dbtProficient in BI tools (e.g., Looker, Tableau) and spreadsheet-based analysisTrack record of delivering independently with minimal oversightProficient in Python or JavaScript for custom analysis or automation (nice to have)Familiarity with product analytics tools (e.g., Mixpanel, PostHog) and A/B testing frameworks (nice to have)Excited to work onsite 4 days a week in downtown SF