# FinOps Data Engineer  at Supabase

Supabase is hiring a FinOps Data Engineer  for a remote role. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/13e8b73d-1fbb-4406-b260-44c12015d6e2?utm_medium=ai-agent).

AI Level 1, AI centrality 28 out of 100. Remote (Remote, Global).

## Details

- Company: [Supabase](https://jobsbylevel.com/companies/supabase)
- AI level: AI Level 1 (score 28 out of 100)
- Location: Remote (Remote, Global)
- Posted: October 14, 2026
- Apply: https://jobsbylevel.com/go/13e8b73d-1fbb-4406-b260-44c12015d6e2?utm_medium=ai-agent

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/finops-data-engineer-at-supabase-5144db

Source: https://jobsbylevel.com/jobs/finops-data-engineer-at-supabase-5144db

## Cite this page

Level. https://jobsbylevel.com/jobs/finops-data-engineer-at-supabase-5144db.

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