FinOps Data Engineer

The role

You will drive cost optimization and cloud financial governance across AWS and GCP infrastructure. You will build data models, pipelines, and analysis to make cost, usage, and margin numbers trustworthy.

What you will do

• Find and ship savings across AWS and GCP
• Build and maintain the FinOps data pipeline
• Build cost-vs-revenue and customer segmentation models
• Apply data science to cost and usage data
• Build and maintain cost attribution
• Automate cost governance
• Partner with engineering on architecture decisions
• Work with Finance on forecasting and reporting

Required qualifications

• Strong AWS expertise and working GCP knowledge
• Data engineering depth in dbt, BigQuery (or equivalent modern warehouse), SQL at scale, and data modeling
• Data science fundamentals including statistical forecasting, anomaly detection, and experimentation
• Automation and scripting skills in Python, Terraform/pulumi, Lambda, or Bash
• Comfort with AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding
• Experience with, or ability to pick up, Linear and Notion
• Ability to analyze cost data and present it to technical and non-technical audiences
• Prior experience in data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context

Nice to have

• Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar)

Benefits

• WeWork membership or co-working allowance
• ESOP (equity ownership)
• Tech Allowance
• 100% health insurance for employees
• 80% health insurance for dependents
• Annual Off-Sites
• Flexible Work
• Annual education allowance

About the company

Supabase is a born-remote and open-source-first company with approximately 400 team members in 60+ countries. They have raised over $1B and have a community of 540,000+ members.