Data Engineer

About the role

In this role, you will take ownership for building and operating our data architecture to support new and evolving fraud solutions. You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud. This is an opportunity to work on production systems with real-world impact while continuing to grow your skills in data engineering, cloud platforms, and distributed systems. Your Key Responsibilities Design, build, and maintain scalable data pipelines and workflows in a cloud environment Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic solutions Contribute to improving our data architecture, including ingestion, storage, and access patterns Own data operations by monitoring data workflows, triaging failures, and resolving data issues Enhance observability and performance by implementing monitoring and optimizing pipelines for reliability, scalability, and cost efficiency Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions Write maintainable code; participate in code reviews; and help improve testing, deployment, and documentation standards