ironquill.tech/board

$ cat jobs/senior-data-engineer-supabase-225723a56dea.json

Senior Data Engineer

Supabase·Worldwide·Remote·senior
pythonpostgresbigqueryairflowdbt
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ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Senior Data Engineer to join our Data team and own data systems end to end, from the raw source all the way to the analysis that drives decisions. You'll report to the Lead Data Engineer and work closely with growth, finance, and product, helping the whole company understand what's happening and why. This is a wide role. You'll build and operate the pipelines, model the data, manage the infrastructure, and deliver the analysis yourself. We're scaling fast, so the systems you build need to hold up when the data multiplies. If you like owning the full picture instead of a single layer, this is for you. At Supabase, data runs the company. Growth bets, billing, and product decisions all ride on the pipelines and models the Data team owns, across multi-terabyte tables and billions of events that grow every week. This role is for someone who wants to own that, not just report on it. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Own data from source to delivery. Design ingestion from source systems into BigQuery with Airflow (Cloud Composer), Dataflow, and Python loaders; model it in dbt; and deliver the analysis in Hex. No handoffs, no "that's not my layer." - Build for 10x. We're growing fast, and the data is growing with us. Every pipeline and model you ship should survive the volume multiplying in the next few months. Reliability, cost, and partition strategy are part of the design, not an afterthought. - Explain what's driving the numbers. When a metric moves, you find out why. You can trace a number from a Hex dashboard back through the dbt models to the raw source and tell the business what actually pushed it up or down. - Work AI-first, and own the o

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