FinOps Data Engineer - Supabase

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

• 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 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.
• 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, as 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 equivalent modern warehouse), SQL at scale, and data modeling for analytics.
• Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation.
• 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.
• 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.

What We Offer

• Fully Remote: Hire globally with a WeWork membership or co-working allowance.
• ESOP: Equity ownership in the company for every team member.
• Tech Allowance: Budget to set up your ideal work environment.
• Health Benefits: 100% health insurance coverage for employees and 80% for dependents.
• Annual Off-Sites: Once a year, the entire company gathers in a new city.
• Flexible Work: Asynchronous operations with trust to manage your time.
• Professional Development: Annual education allowance for learning and growth.