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    Supabase

    Senior Data Engineer

    Supabase
    Remote4 days ago
    Data & AI
    Data Engineering
    Senior
    Remote

    Summary

    Senior Data Engineer at Supabase, a Postgres development platform. You will own data systems end-to-end, building and operating pipelines, modeling data, and delivering analysis using Python, BigQuery, dbt, and Airflow. This role requires 5+ years of experience and focuses on building scalable, reliable data infrastructure for a fast-growing company.

    Location
    Remote
    Type
    full-time
    Level
    Senior
    Work mode
    remote

    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 output. You lean hard on modern AI tooling (coding agents, LLMs) to move faster across the whole stack, but you stay accountable for what lands in production. You know the difference between letting AI draft and letting AI decide, and you keep correctness, cost, and ownership in your own hands. This matters a lot to us.

    • Partner directly with business teams. You don't wait for tickets. You understand what growth, finance, and product are trying to learn, get ahead of it, and translate messy questions into models and answers they can trust.

    • Manage infrastructure as code. Provision and evolve the data platform with Pulumi, and treat the pipeline as a production system you're on the hook for.

    • Stay on the frontier. You actively track what's new in data engineering and AI, and you bring the good tools in instead of waiting for someone to tell you about them.

    You Might Be a Good Fit If You

    • Have 5+ years building and operating production data pipelines and warehouses

    • Are deep with our stack or close equivalents: GCP, BigQuery, dbt, Airflow, Dataflow, Metaplane, Hex, and infrastructure as code (Pulumi or Terraform)

    • Write strong SQL and can both build the pipeline and read the metric. You're an engineer who can do analysis, not one or the other

    • Already build AI into how you work day to day, and have a clear sense of where a human has to stay in the loop

    • Communicate clearly with non-technical stakeholders and chase down what they actually need

    • Are comfortable navigating ambiguity, moving quickly, and designing for scale from the start

    • Are genuinely passionate about data, with the track record to back it up

    What We Offer

    • Fully Remote

      We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.

    • ESOP

      Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.

    • Tech Allowance

      Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.

    • Health Benefits

      Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.

    • Annual Off-Sites

      Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.

    • Flexible Work

      We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.

    • Professional Development

      Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.

    About the Team

    Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.

    • 280+ team members

    • 55+ countries

    • 20+ languages spoken

    • $500M raised

    • 500,000+ community members

    We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

    Hiring Process

    We keep things simple, async-friendly, and respectful of your time:

    1. Apply – Our team will review your application.

    2. Intro Call – A short video chat to get to know each other.

    3. Interviews – Up to four calls with:

      • Team Leads

      • Future teammates

      • Someone cross-functional from product, growth, or engineering (depending on the role)

      • Someone from our leadership/founding team

    4. Decision – We may follow up with a final question or go straight to offer.

    All communication is remote and we aim to move fast.

    Senior Data Engineer

    Supabase · Remote

    Apply for this role

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