Staff Data Engineer, Financial Data Operations
The Opportunity We are looking for a Staff Data Engineer to join our Data Platform team to drive financial data operations at Root, including commissions payments, incentive programs, and other critical backend financial systems. In this role, you will lead complex technical initiatives across engineers within your domain, ensuring the accuracy, scalability, and reliability of data pipelines that power financial processes. You will partner closely with Finance, Product, and Engineering stakeholders to define strategy, shape the technical roadmap, and deliver systems that support high-stakes financial workflows. As a Staff Data Engineer, you will operate as a technical leader, making architectural decisions and delivering solutions with lasting impact over quarters and years. At Root we’ve built an end-to-end financial data operations solution with multiple data collection tools, scoring pipelines, and analytics interfaces. Our analysts, data scientists and finance teams leverage this system to build payments and incentives programs. We’re looking to drastically increase our capabilities in this space. Your role is to achieve platform level tooling to allow faster onboarding of data sources, integrate data with partners, create faster experimentation cycles, and build the analytics and data science data infrastructure to enable more rapid decision loops. Root is a technology company revolutionizing personal insurance with a pricing model based upon fairness and a modern customer experience. Using the power of telematics, Root offers customers auto insurance based on how they drive, not based solely on their demographics. With its technology-forward products, Root is working to fundamentally change an industry for the better. Salary Range: $168,600 - $215,000 (Bonus and LTI Eligible) Root is a “work where it works best” company. Meaning we will support you working in whatever location that works best for you across the US. We will continue to have our headquarters in Columbus, Ohio. How You Will Make an Impact
- Partner with Finance, Product, Data Science, Analytics, and experts in the Insur
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