Software Engineer, Data Platform

<div class="content-intro"><p><strong>ABOUT RETOOL</strong></p> <p>Nearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. But most companies don’t have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows. </p> <p>At Retool, we’re on a mission to bring good software to everyone. We’re building a new type of development platform that combines the benefits of traditional software development with a drag-and-drop UI editor and AI, making it dramatically faster to build internal tools. We believe that the future of software development lies in abstracting away the tedious and repetitive tasks developers waste time on, while creating reusable components that act as a force multiplier for future developers and projects. The result is not just productivity, but good software by default. And that’s a mission worth striving for. </p> <p>Today, our customers span from small startups building their first operational tools to Fortune 500 companies building mission-critical apps for thousands of users across their business. Interested in joining us? Let us know! </p></div><p><strong>WHY WE'RE LOOKING FOR YOU:</strong></p> <p>Retool is a fast-growing company with quickly evolving business needs. We’re looking to hire engineers to help us build out our data ecosystem to serve the needs of our business today and for broader scale years from now. We're looking for someone who is ready to get their hands dirty, is motivated by having an impact on the business, and is constantly curious. This is the right role for someone who thrives while making sense of the blurry space that is data at a high growth startup. </p> <p><strong>WHAT YOU'LL DO:</strong></p> <p>You’ll design and build the infrastructure and tooling that strengthens Retool’s data culture at scale. You’ll take on projects that solidify Retool’s analytics capabilities and help the company remain data-driven. You'll develop and scale ingestion infrastructure, optimize our ETLs, and design our data infrastructure for scale, with a keen eye for data warehouse management and tooling. You'll also take on ownership of our data stack to ensure that your teammates are able to access the data they need to make decisions and technical teams are able to quickly implement events. We’ve already built out a solid stack on top of Kafka, Databricks, DBT, and of course, Retool, but we need your help to ensure it scales with the company as our user base grows.</p> <p><strong>WHO YOU'LL WORK WITH:</strong></p> <p>You’ll work with stakeholders across the business, including data scientists, analytics engineers, finance, marketing, engineering, product, operations, and support. You’ll be joining a broader team of Retools who are passionate about serving our customers, enjoy collaborating to build an incredibly innovative product, and enjoy swapping stories. If this sounds like you, we’d love to hear from you!</p> <p><strong>IN THIS ROLE, YOU'LL:</strong></p> <ul> <li>Architect and scale a modern data platform that will be used internally by all of Retool</li> <li>Build and maintain scalable ETL pipelines to efficiently process and transform large volumes of data from source systems into our data warehouse</li> <li>Work with our engineering teams to ensure robust instrumentation across areas of the product</li> <li>Partner with business stakeh ... (truncated, view full listing at source)