[All remote jobs](https://jobicy.com/jobs.md)[![Supabase logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/611d3bfa-221.png)](https://jobicy.com/company/supabase.md)[Supabase](https://jobicy.com/company/supabase.md) # FinOps Data Engineer AI Summary Supabase is hiring a FinOps Data Engineer to build reliable data products for cloud-cost optimization and financial governance across AWS and GCP. The role combines data engineering, cloud cost analysis, forecasting, anomaly detection, cost attribution, and automation. The hire will create BigQuery and dbt models, Python pipelines, dashboards, and infrastructure-as-code solutions that turn billing data into actionable savings and margin insights. This is a hands-on, cross-functional position working closely with Engineering, Finance, Product, and leadership. It requires clear communication as well as the ability to take cost-saving initiatives from analysis through implementation and realized impact.[Apply for this job](#job-application)[View company](https://jobicy.com/company/supabase.md)ShareRemote from🌐 AnywhereSalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished12 Nov 2026Apply before12 Dec 2026Listing views46Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. Opportunity details ## About this role. About the Role We’re looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You’ll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You’ll do the schlep work other teams don’t have time for, digging into a bucket’s access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you’ll regularly explain a savings case or a data model’s implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You’ll Be Responsible For In this role, you’ll: * Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. * Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. * Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. * Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically rather than by threshold alone, and quantify savings opportunities (e.g. storage lifecycle, request-cost patterns) with rigor a spreadsheet can’t match. * Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so engineering teams can see and own their own spend. This is foundational work other savings work depends on. * Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write the scripts and infrastructure-as-code (Python, Terraform, Lambda) that enforce cost policy rather than relying on manual review. * Partner with engineering on architecture decisions: Bring cost into the room early, cost-efficiencies are cheaper to get right at design than to retrofit. * Work with Finance on forecasting and reporting: Support budget tracking and financial KPIs; build dashboards and self-serve analytics engineering and finance can both read. You Might Be a Good Fit If You * Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures, and cost optimization mechanics. * Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). * Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation, and know when a rigorous model beats a rule of thumb. * Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash. * Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing Reports, and BI/dashboarding (we use Hex). * Have experience with, or are comfortable picking up, Linear and Notion as the system of record for tracking and documenting FinOps work. * Experience with a dedicated cloud cost management platform (e.g. CloudZero, Vantage, or similar) is a plus, not required. * Can analyze cost data and present it clearly to both technical and non-technical audiences. * Have prior experience spanning data analytics, data engineering, or data science in a FinOps, cloud cost management, or cloud governance context. * Are energized by doing the unglamorous, high-leverage work (the schlep) that unblocks other teams, and by working cross-functionally without positional authority. ### What We Offer * Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no [Supabase](https://jobicy.com/company/supabase.md) offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. * ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. * Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. * Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. * Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. * Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. * Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ### About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. * ~400 team members * 60+ countries * 20+ languages spoken * Over $1B raised (including our $500M Series F) * 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities. Show more [Apply now >](https://jobicy.com/jobs/161693-finops-data-engineer.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, multidisciplinary role requiring strong cloud FinOps knowledge alongside production data engineering, statistical analysis, and automation skills. Success depends on independently delivering technically sound savings initiatives while aligning diverse technical and finance stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$155,000US market range (per year)$130k–$190k0$209.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Annual compensation is inferred from the full-time senior FinOps data engineering scope; estimated market compensation is shown in USD as an annual planning estimate, not as verified employer pay. ## Core skills Skills and capabilities most closely associated with this opportunity. [AWS FinOps](https://jobicy.com/jobs?search_keywords=AWS%20FinOps.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[AWS Lambda](https://jobicy.com/jobs?search_keywords=AWS%20Lambda.md)[Cloud cost optimization](https://jobicy.com/jobs?search_keywords=Cloud%20cost%20optimization.md)[Cost allocation](https://jobicy.com/jobs?search_keywords=Cost%20allocation.md)[Financial forecasting](https://jobicy.com/jobs?search_keywords=Financial%20forecasting.md)[Anomaly detection](https://jobicy.com/jobs?search_keywords=Anomaly%20detection.md)[Dimensional data modeling](https://jobicy.com/jobs?search_keywords=Dimensional%20data%20modeling.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[Stakeholder communication](https://jobicy.com/jobs?search_keywords=Stakeholder%20communication.md) Sample interview questionsHow would you build a trustworthy cloud-cost data mart from AWS CUR and GCP billing exports?I would first define a canonical cost schema and establish source-level reconciliation checks against provider invoices. I would use incremental dbt models to normalize accounts, projects, services, tags, credits, commitments, and amortized costs, then publish tested marts with documented grain and ownership. Describe how you would identify and validate a cloud-cost savings opportunity. I would analyze usage, utilization, pricing, and workload behavior to quantify the opportunity and identify implementation constraints. After partnering with engineering on the change, I would measure the realized savings against a defined baseline while accounting for seasonality, demand changes, and pricing changes. How would you design anomaly detection for cloud spend? I would segment spend by relevant dimensions such as service, account, product, environment, and customer cohort, because aggregate spend can hide meaningful changes. I would combine seasonal forecasting or statistical baselines with contextual alerts, then prioritize anomalies by expected financial impact and confidence. What role does cost attribution play in FinOps? Cost attribution gives teams visibility into the spend they influence and enables chargeback, showback, margin analysis, and accountable optimization. I would establish practical tagging and allocation standards, monitor coverage and quality, and define sensible allocation rules for shared platform costs. How would you communicate a complex savings model to both engineers and finance stakeholders? I would tailor the same underlying model to the audience: implementation assumptions and technical trade-offs for engineers, and baseline, forecast, risk, and realized financial impact for finance. I would make assumptions explicit, provide reconciled numbers, and document the calculation so stakeholders can trust and reuse it. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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