Staff SDET

Who We Are At Vantage Compute , we believe that America’s promise is shaped and reshaped by the best ideas and ideals of its communities and the dreams of the people who believe in a better life for themselves, their families, and each other. We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partners’ capacity to build power and lead change in their communities. We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on — how we learn, live, govern, and solve problems — so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone. We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America — together. We’ve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly — rallying together to face challenges the same way we celebrate each other’s wins. About the Position Do you see yourself as an engineer with deep roots in software and data engineering who is passionate about data quality - and ready to build the systems that prove it? As a Staff Software Development Engineer in Testing (SDET), you will embed in our Data Platform team as its senior-most testing authority, responsible for developing a deep understanding of our entire data platform and then designing and driving the implementation of the Organizer product’s automated integration testing strategy. This role is built for someone who is first and foremost a strong engineer - with substantial experience in software development and/or data engineering - and who brings a genuine passion for data quality and testing as a craft. This is a great opportunity to build something with significant impact from the ground up. You will be expected to quickly achieve mastery of our streaming data pipelines and distributed systems architecture, and then have the creative latitude to design and implement a comprehensive end-to-end test framework - with real organizational investment and impact behind it. You will influence testing strategy organization-wide, set technical standards, and serve as a force multiplier for the engineers around you. Job Level: P5 What You’ll Do Rapidly develop a comprehensive understanding of our entire data platform (its architecture, data flows, business logic, and system interdependencies) to serve as the foundation for a testing strategy; Work with our application QA Engineering Team to understand our existing testing strategy and tools; this will help you identify how you can fill the gaps in data testing; Design, architect, and lead the implementation of an integration testing framework for the Organizer application's streaming data platform, ensuring it is complementary to existing infrastructure; Design automated validations that query and compare data across multiple storage systems (e.g., MongoDB, DynamoDB, Pinot) to ensure end-to-end data correctness; Embed automated tests within CI/CD pipelines to establish regression baselines and continuously validate new feature development; Design tests that rigorously account for eventual consistency, asynchronous processing, and time-based behaviors inherent to distributed systems; Define and own the long-term quality and testing strategy for the data platform, aligning it with organizational reliability, observability, and engineering excellence goals; Evaluate, select, and integrate tools, frameworks, and technologies to advance automation and data validation capabilities across the organization; Implement automated performance and throughput benchmarks for critical pipeline components and own the standards by which results are evaluated; Participate in engineering design reviews with a quality-first lens, ensuring testability, observability, and data correctness are built into systems from the start; Proactively identify, investigate, and drive resolution of data quality issues and systemic reliability risks; collaborate with data engineers to implement fixes and preventative measures; Lead post-incident reviews for data quality events: authoring clear timelines, facilitating root cause analysis, and driving follow-through on remediation action items; Mentor engineers across the data platform and QA teams, establishing testing best practices and elevating the team's overall qua