Senior Software Engineer, Data Enablement

Block (Square)·Bay Area, CA, United States of America·onsite
crypto:applicationengineeringIC510418 Engineering - Data & Data Science
Compensation
Not disclosed
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 Data Enablement team builds the platforms and frameworks that move and serve data across Block. We support four core capabilities — online and offline data projections, a third-party data proxy, and graph data stores — for customers across the company, including Risk, Compliance, Data Engineering, and Data Science. As a Staff Software Engineer on the team, you will become the subject-matter expert and a significant contributor to our online data projections and event-streaming capabilities — designing the platform, frameworks, and standards that turn Block's event streams into low-latency, production-grade data products. Your work sets the technical direction for how teams across the company build on streaming data. You Will Become the subject-matter expert for Block's online data projections and event-streaming capabilities — designing the platform, frameworks, and standards others build on Lead the technical direction for real-time, event-driven data systems used by business units across Block Build and operate streaming pipelines and projection frameworks on high-volume event data Partner with engineering teams across Block to turn Kafka event streams into reliable, low-latency data products Improve the reliability, observability, and data quality of streaming systems running in production Mentor engineers on