FinOps Data Engineer

Supabase

WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 2h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 2 hours ago · apply link checked 30 minutes ago

About the role

Responsibilities

  • Find and ship cost savings across AWS and GCP infrastructure
  • Build and maintain the BigQuery/dbt FinOps data pipeline
  • Build cost-vs-revenue and customer segmentation models
  • Apply forecasting and anomaly detection to cost and usage data
  • Build and maintain cost attribution, tagging and chargeback
  • Automate cost governance with Python, Terraform and Lambda
  • Partner with engineering on cost-aware architecture decisions
  • Support Finance with forecasting, budget tracking and dashboards

Requirements

  • Strong AWS expertise and working GCP knowledge
  • Data engineering depth with dbt, BigQuery and SQL at scale
  • Data modeling for analytics, including dimensional modeling
  • Statistical forecasting and anomaly detection fundamentals
  • Automation and scripting in Python, Terraform, Lambda or Bash
  • Comfort with AWS Cost Explorer, CUR and GCP Billing Reports
  • Clear communication to technical and non-technical audiences

Preferred Qualifications

  • Experience with a cloud cost management platform such as CloudZero or Vantage
  • Experience with Linear, Notion and Hex

Benefits

  • Fully remote, with a WeWork or co-working allowance
  • ESOP equity ownership
  • Tech allowance for equipment
  • 100% health insurance for employees and 80% for dependents
  • Annual company off-sites
  • Flexible asynchronous work
  • Annual education allowance

About the Company

Supabase is a born-remote, open-source-first company with around 400 team members across 60+ countries. It builds developer tools in public.

What we look for

  • Strong AWS expertise and working GCP knowledge
  • Data engineering depth with dbt, BigQuery and SQL at scale
  • Data modeling for analytics, including dimensional modeling
  • Statistical forecasting and anomaly detection fundamentals
  • Automation and scripting in Python, Terraform, Lambda or Bash
  • Comfort with AWS Cost Explorer, CUR and GCP Billing Reports
  • Clear communication to technical and non-technical audiences
  • Experience with a cloud cost management platform such as CloudZero or Vantage
  • Experience with Linear, Notion and Hex
PythonAWSSQLTerraformGCPDBTBigQueryHexAWS Cost Explorer
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