Remote FinOps Data Engineer: Cloud Cost & Analytics

Supabase; United States; A distancia; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully Remote

ESOP

Tech Allowance

Health Benefits

Annual Off-Sites

Flexible Work

Professional Development

Descripción de la vacante

Supabase is seeking a FinOps Data Engineer to optimize cloud spend across AWS and GCP, building the data foundations for cost, usage, and margin visibility. You’ll ship savings end-to-end from data collection to a reconciled cost mart and partner with engineering on cost-informed architecture decisions.

This hands-on role requires building forecasting models, anomaly detection, and automated governance, working closely with Finance and Product teams to drive profitability.

Formación

• Strong AWS & GCP pricing models, billing structures, and optimization mechanics.
• Depth in data engineering: SQL at scale, data modeling for analytics, and analytics-focused pipelines.
• Knowledge of forecasting, anomaly detection, and experimental evaluation in FinOps.

Responsabilidades

• Find and ship savings across AWS and GCP: identify opportunities from billing and usage trends to realized dollars.
• Build and maintain the FinOps data pipeline: design and run BigQuery/dbt models turning raw data into trusted mart tables.
• Build cost-vs-revenue and customer segmentation models for product lines and segments.
• Apply data science to cost and usage data: forecasting, anomaly detection, and rigorous savings opportunities.
• Build and maintain cost attribution: tagging, cost allocation, and chargeback/showback.
• Automate cost governance: reporting, anomaly detection, and IaC scripts (Python, Terraform, Lambda).
• Partner with engineering on architecture decisions to bake cost into design.
• Collaborate with Finance on forecasting and reporting for KPIs and budgets.

Conocimientos

AWS expertise

GCP knowledge

dbt

BigQuery

SQL

Data modeling

Python

Terraform

Lambda

Bash

Herramientas

dbt

BigQuery

Terraform

Python

Lambda

Cost tooling

Descripción del empleo

Supabase is seeking a FinOps Data Engineer to optimize cloud spend across AWS and GCP, building the data foundations for cost, usage, and margin visibility. You’ll ship savings end-to-end from data collection to a reconciled cost mart and partner with engineering on cost-informed architecture decisions.

This hands-on role requires building forecasting models, anomaly detection, and automated governance, working closely with Finance and Product teams to drive profitability.