FinOps Data Engineer

About the Role

We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate 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'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-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'll 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'll Be Responsible For In this role, you'll:
• - Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/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/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-vs-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 (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can't match.
• - Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/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; build dashboards and self-serve analytics 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 (dimensional modeling, incremental models, 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/ pulumi, Lambda, or Bash.
• - Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (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 (e.g. CloudZero, Vantage, or similar) 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 (the schlep) 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 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.
• - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ 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.