Data Engineer

📋 Description

• Take control of the data: Design our warehouse from the ground up. You decide how data lands, how
• Unify every source: Bring in billing, contracts, usage, CRM, and marketing data with incremental
• Define the shared language: Build the customer mappings and shared models for contracts, billing
• Keep it honest: Own pipeline monitoring, data-quality checks, access controls, performance, and
• Then build on top of it: Reporting views for dashboards, context for internal AI agents, and the

🎯 Requirements

• Strong SQL, plus the ability to build services and integrations in Python or another
• You've shipped: Meaningful technical work through a job, an internship, or a substantial project.
• Experience with financial reconciliation, customer identity, or production data pipelines.
• You want to own the whole thing: You'd rather design a system end to end and watch the company run
• You run toward ambiguity: Hand you a messy problem and you'll investigate it on your own and carry
• Wrong numbers keep you up at night: You test edge cases, reconcile outputs, and retest after every

🎁 Benefits

• Healthcare, dental, vision, all the good stuff
• Meaningful equity in a fast-growing company
• Every tool you need to succeed
• Beautiful office in Levi's Plaza, SF with rooftop views