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FinOps Data Engineer

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đŸ”„ 3 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

đŸ‘» Ghost score 25%

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Logo of Supabase

Supabase

51 - 200 employees

Founded 2020

☁ SaaS

🔌 API

đŸ€– Artificial Intelligence

💰 $80M Series B on 2022-05

SaaS ‱ API ‱ Artificial Intelligence

Supabase is an open source alternative to Firebase, providing a range of backend tools designed to help developers start and scale their applications effectively. It offers features such as a full Postgres database, authentication with Row Level Security, instant APIs, Edge Functions for custom code, real-time data synchronization, and storage for large files. Developers can integrate machine learning models, utilize RESTful APIs, and take advantage of platform-integrated best of breed products. Supabase is designed to be highly portable, extendable, and user-friendly, making it a powerful choice for startups and enterprises looking to innovate quickly and efficiently.

📋 Description

‱ Analyze billing, usage, and cost trends across AWS and GCP to identify and realize savings opportunities ‱ Design and operate BigQuery/dbt models that transform raw billing and usage data into reconciled FinOps marts ‱ Build cost-versus-revenue and customer segmentation models for unit economics and margin analysis ‱ Develop forecasting models, statistical anomaly detection, and rigorous savings opportunity analyses ‱ Implement tagging policies, cost allocation, chargeback, and showback ‱ Automate cost reporting, anomaly detection, alerting, and cost-policy enforcement using Python, Terraform, Lambda, or similar tools ‱ Partner with Engineering on cost-efficient architecture decisions ‱ Support Finance with budget tracking, forecasting, financial KPIs, dashboards, and self-service analytics

🎯 Requirements

‱ Strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics ‱ Data engineering experience with dbt, BigQuery or an equivalent modern warehouse, SQL at scale, and analytics data modeling ‱ Knowledge of dimensional modeling, incremental models, and data testing ‱ Data science fundamentals including statistical forecasting, anomaly detection, and experimentation ‱ Automation and scripting skills with Python, Terraform or Pulumi, Lambda, or Bash ‱ Familiarity with AWS Cost Explorer, AWS Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding tools such as Hex ‱ Experience with or ability to learn Linear and Notion ‱ Ability to analyze cost data and present it clearly to technical and non-technical audiences ‱ Prior experience in data analytics, data engineering, or data science within FinOps, cloud cost management, or cloud governance ‱ Experience with a dedicated cloud cost management platform such as CloudZero or Vantage is a plus, not required ‱ Strong communication and cross-functional collaboration skills

đŸ–ïž Benefits

‱ Fully remote work ‱ Work from anywhere in the world ‱ WeWork membership or co-working allowance usable anywhere in the world ‱ ESOP (equity ownership) ‱ Tech allowance for laptop, monitor, headphones, or other work equipment ‱ Health insurance: 100% coverage for employees and 80% for dependents ‱ Annual company off-sites ‱ Flexible, asynchronous work ‱ Annual education allowance for courses, books, conferences, or other learning

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