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.
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.
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.
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
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.
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.
We keep things simple, async-friendly, and respectful of your time:
Apply – Our team will review your application.
Intro Call – A short video chat to get to know each other.
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
Decision – We may follow up with a final question or go straight to offer.
All communication is remote and we aim to move fast.
Based on 1,527 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $203K (10th–90th percentile: $103K–$244K).
See the full Data & ML salary breakdown →