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We’re looking for a Staff Data Engineer to own and evolve our analytics and data infrastructure. This is a high-impact, individual contributor role at the intersection of product and engineering where you’ll be responsible not just for building pipelines, but for driving business outcomes from the data. This is the first time we’re hiring at this level for data engineering, so we need someone who thrives in ambiguity, takes ownership, and can operate independently from day one. You’ll have the opportunity to shape our data architecture and set the technical direction for how we turn data into decisions by identifying what’s working, what’s not, and driving the actions that move the business forward.
Job Responsibility:
Own our analytics platform end-to-end: assess what we have today, identify gaps, and build what’s missing
Design and build data pipelines focused on customer intelligence to identify opportunities to grow, improve retention, and drive smarter business decisions
Turn data into action: analyze results, surface insights, and push the organization to act on them
Partner closely with product, engineering, and ML teams to define what we measure, why it matters, and how we operationalize insights
Drive technical direction for our data stack and establish best practices as the function grows
Requirements:
7-10+ years of experience in Data Engineering
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience)
Deep hands-on experience with data platforms and tooling, including BigQuery, Google Cloud Dataflow, Dagster, Looker Studio, or equivalent tools
Strong communicator who can translate data into business decisions and influence cross-functional stakeholders
Experience designing data architecture and providing technical guidance to others
Candidates must be based in the SF Bay Area or willing to relocate