The Central Fraud and Abuse Risk (CFAR) team is seeking a Data Analytics Engineer to design and build highly secure, resilient, and containerized cloud-hosted analytics microservices and micro frontends. Our team leverages deep security and compliance expertise, rich datasets, and exceptional engineering talent to deliver industry-leading, robust services. We build, buy, and integrate best-in-class technologies and datasets to create a flexible, scalable platform that amplifies both automated and human decision-making.
As a Data Analytics Engineer, will build best-in-class solutions using robust coding practices and the latest tech. You thrive on tackling ambitious challenges to build impactful, world-class solutions, while also finding value in contributing to smaller, yet meaningful tasks. If this resonates with you and you align with our team’s values, join us in building the foundation of trust for the digital future.