FinOps Data Engineer at Supabase

About the Role

We are hiring a FinOps Data Engineer to drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You will collaborate cross functionally with Engineering, Finance, and Product to identify and deliver savings, build tooling that maximizes the efficiency of every dollar spent in the cloud, and foster a culture of cost awareness across engineering teams.

This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands on engineering role, not an analyst seat. You will do the schlep work other teams do not have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost versus revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you will regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week.

What You Will Be Responsible For

• Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities including rightsizing, storage lifecycle policies, data transfer, and spot or auto scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation.
• Build and maintain the FinOps data pipeline: Design and run the BigQuery and dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on.
• Build cost versus revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online.
• Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (for example storage lifecycle and request cost patterns) with rigor a spreadsheet cannot match.
• Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback or showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on.
• Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure as code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review.
• Partner with engineering on architecture decisions: Bring cost into the room early, cost efficiencies are cheaper to get right at design than to retrofit.
• Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs, and build dashboards and self serve analytics that engineering and finance can both read.

You Might Be a Good Fit If You

• Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics.
• Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics including dimensional modeling, incremental models, and testing.
• Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb.
• Have automation and scripting skills: Python, Terraform or Pulumi, Lambda, or Bash.
• Are comfortable with cost and billing tooling: AWS Cost Explorer, Cost and Usage Reports, GCP Billing Reports, and BI or dashboarding tools (we use Hex).
• Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work.
• Experience with a dedicated cloud cost management platform (for example CloudZero or Vantage) is a plus, not required.
• Can analyze cost data and present it clearly to both technical and non technical audiences.
• Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context.
• Are energized by doing the unglamorous, high leverage work that unblocks other teams, and by working cross functionally without positional authority.

What We Offer

• Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no company offices, but we provide a WeWork membership or co working allowance you can use anywhere in the world.
• ESOP: Every team member receives equity ownership in the company. We want everyone to share in the upside of what we are building together.
• Tech Allowance: Use this budget to set up your ideal work environment, including laptop, monitor, headphones, or whatever helps you do your best work.
• Health Benefits: We cover 100 percent of health insurance for employees and 80 percent for dependents, wherever you are.
• Annual Off Sites: Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun.
• Flexible Work: We operate asynchronously and trust you to manage your own time.
• Professional Development: Every team member receives an annual education allowance to spend on learning such as courses, books, or conferences.

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.

• About 400 team members
• 60 plus countries
• 20 plus languages spoken
• Over 1 billion dollars raised, including our 500 million dollar Series F
• 540,000 plus community members

We move fast, build in public, and use what we ship. We believe deeply in the open source ecosystem and strive to support, not replace, existing tools and communities.