FinOps Data Engineer

Supabase is seeking a FinOps Data Engineer to drive cost optimization and cloud financial governance across AWS and GCP infrastructure. This hands-on engineering role involves building data models, pipelines, and analysis to ensure trustworthy cost, usage, and margin numbers while partnering cross-functionally with Engineering, Finance, and Product.

• Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics
• Have data engineering depth including dbt, BigQuery or an equivalent modern warehouse, SQL at scale, and data modeling for analytics
• Have data science fundamentals such as statistical forecasting, anomaly detection, and experimentation
• Have automation and scripting skills including Python, Terraform or pulumi, Lambda, or Bash
• Are comfortable with cost and billing tooling such as AWS Cost Explorer, Cost and Usage Reports, GCP Billing Reports, and BI or dashboarding
• Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context

You are a good fit if you have strong AWS and GCP knowledge, data engineering depth, automation skills, and a willingness to handle unglamorous, high-leverage work while communicating clearly with both technical and non-technical audiences.

Candidates apply on the employer's official site.