Senior Data Engineer, Product

About the Role

<p>It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.<br><br>Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.</p> <h4><strong>The Role</strong></h4> <p>As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team.</p> <p><br><strong>The Product Data Engineering Team </strong>at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale.</p> <p>&nbsp;</p> <h4><strong>You Will</strong></h4> <ul> <li>Lead the creation and optimization of data models across eventing, customer-level, and process-level data, leveraging AI-assisted development tools to accelerate delivery.</li> <li>Take shared or independent technical ownership of critical data pipelines across Block — including foundational customer datasets, money transfer and movement pipelines, and the data infrastructure powering Block's experimentation platform.</li> <li>Build monitoring to assess data quality and lineage and further, build AI agents for false positive reduction and automated resolution.&nbsp;</li> <li>Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders. Automate this process through AI agents to focus human effort on highest priority tasks.</li> <li>Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and develop automated end-to-end solutions.</li> </ul> <p>&nbsp;</p> <h4><strong>You Have</strong></h4> <ul> <li>A minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.</li> <li>High proficiency in SQL, Python, and Dbt</li> <li>Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation</li> <li>Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as&nbsp;</li> <li>Experience in schema design and dimensional data modeling</li> <li>Experience with setting up data quality and data lineage monitoring</li> <li>Experience with data driven decisions through AI and agentic automation</li> </ul> <p>&nbsp;</p> <h4><strong>Technologies We Use and Teach</strong></h4> <ul> <li>