Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role The Compliance Engineering & Technology (CET) team at Block supports the detection and reporting of suspicious financial crimes activity across Cash App, Square, and Afterpay. We work globally with partners in business, engineering, counsel, and product to provide a safe user experience for our customers while minimizing and potentially eliminating bad activity on our platform. You will report to the CET - Screening Engineering Manager, but work predominately alongside the CET - Data Engineering team. As a Data Engineer you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable other compliance teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. As a staff engineer, you will be helping bring the organization into a new level of consistency, helping create and evangelize best practices and standards for the wider organization. You Will Stay up to date on the latest data engineering best practices, decide which are most applicable for our use cases, and guide and teach the data engineering team the relevant tools. Create scalable patterns and solutions that help our team design, develop, and manage scalable ETL pipelines to unblock new product launches. Lead the creation and optimization of existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data. Build monitoring to assess the health of the team's infrastructure as well as data quality and lineage. Participate in the data engineering team's on-call rotation: monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions.