FinOps Data Engineer

Job not on LinkedIn

🔥 35 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Supabase

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🔌 API

🤖 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

🏖️ 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