Numerator is looking for a Data Engineer I to help us drive decision-making, find bigger opportunities, and work with our established and rapidly evolving platforms. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly scaling environment. As a Data Engineer I at Numerator, you will help our team deliver data products, analytics, and models quickly and independently. The role is cross-functional and responsible for developing resilient data pipelines and infrastructure for evaluating and deploying data science models. The ideal candidate should be experienced with processing large quantities of data, building algorithms alongside software engineers, data warehouse and/or service architecture, and using declarative infrastructure and Kubernetes. You will have a broad impact and exposure across Numerator as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, and impact, and where many of the decisions for new projects will be driven by you and your team from inception through production. What you get to do: Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards Lead complex, end-to-end projects focused on improving data quality and ensuring statistical models (e.g., sampling, segmentation, classification, predictive modeling) are supported by clean and validated data Design and develop pipelines that enforce data validation, quality checks, and best practices for integrating Data Science models into customer-facing products