FinOps Data Engineer
Supabase · Data · 1d ago
Anyone, anywhere in the world can apply.
Applies on the original listing · via Jobicy
Who can apply
Read straight from the listing, so you know before you spend time on it.
Anyone, anywhere in the world can apply.
“We hire globally. We believe you can do your best work from anywhere.”
Spread across more than 60 countries worldwide.
- Async-first
- Supabase operates asynchronously and trusts employees to manage their own time.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- Provides a tech setup budget and a worldwide WeWork membership or co-working allowance.
- Annual retreat
- The entire company gathers once a year in a new city for a week-long off-site.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
As a FinOps Data Engineer at Supabase, you will drive cost optimization and cloud financial governance across AWS and GCP footprints. This hands-on engineering role focuses on the data infrastructure supporting financial operations: designing BigQuery and dbt models, analyzing raw usage data, creating cost-vs-revenue attribution, and building automated anomaly detection and alerting pipelines.
What you'll do
- Analyze billing and usage trends to identify, model, and realize cost savings across AWS and GCP infrastructure.
- Design and maintain the FinOps data pipeline in BigQuery and dbt to turn raw usage data into reliable mart tables.
- Build cost-vs-revenue and customer segmentation models to track unit economics and margins by product line.
- Develop statistical forecasting and anomaly detection models to quantify savings opportunities.
- Implement tagging policies, cost allocation, and chargeback/showback mechanisms for engineering teams.
- Automate cost governance and alerting using Python, Terraform, Lambda, and modern BI tooling like Hex.
What you bring
- Strong expertise in AWS and working knowledge of GCP billing, pricing models, and cost optimization.
- Deep data engineering background with dbt, BigQuery (or equivalent warehouse), and SQL at scale.
- Solid data science fundamentals including statistical forecasting, anomaly detection, and experimentation.
- Proficiency with automation and scripting using Python, Terraform/Pulumi, Lambda, or Bash.
- Familiarity with cloud cost management tooling like AWS Cost Explorer, GCP Billing Reports, and modern BI tools.
- Demonstrated experience in data analytics or engineering within a FinOps or cloud governance context.
About Supabase
Supabase is an open-source, born-remote company building developer tools and backend infrastructure. The team consists of hundreds of members spread across more than 60 countries.
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