FinOps Data Engineer (Remote - Worldwide)

The company hires globally and has no office requirement. A developer-focused software company that is fully remote and hires across more than 60 countries is looking for a FinOps Data Engineer to lead the data side of cloud cost optimization and financial governance across its AWS and GCP environments. The role combines hands-on data engineering with cost analysis, so the person in this seat builds the models and pipelines that make cost, usage and margin figures reliable company-wide. Work spans engineering, finance and product teams, and the goal is to turn savings ideas into realized dollar figures.

What you'll do

• Identify and deliver cloud savings across AWS and GCP, covering rightsizing, storage lifecycle policies, data transfer costs and autoscaling, and track each change through to a measured reduction.
• Design and maintain dbt and BigQuery models that transform raw billing and usage data (such as AWS Cost and Usage Reports and storage analytics) into reconciled, tested mart tables.
• Build cost-versus-revenue and customer segment models that show unit economics and margin by product line, and extend them as new products launch.
• Apply forecasting and statistical anomaly detection to spend data, and quantify savings opportunities with rigor.
• Set up cost attribution, tagging standards and chargeback or showback reporting so engineering teams can own their spend.
• Automate cost reporting, alerts and policy enforcement using Python, Terraform or Lambda, and present findings to technical and non-technical audiences.

What you need

• Strong AWS experience and working knowledge of GCP, including pricing models, billing structures and cost optimization levers.
• Solid data engineering background: dbt, BigQuery or a comparable warehouse, advanced SQL, and dimensional modeling with incremental models and testing.
• Data science fundamentals in forecasting, anomaly detection and experimentation, with judgment on when a rigorous model is warranted.
• Scripting and automation skills in Python, plus Terraform or Pulumi, Lambda or Bash.
• Familiarity with cost tooling such as AWS Cost Explorer, Cost and Usage Reports, GCP billing reports and a BI tool; experience with a cloud cost management platform is a plus.
• Clear written and spoken communication, and comfort working cross-functionally without formal authority.

Open to applicants anywhere in the world.

How to apply

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