About the role
*Statsig is not actively hiring for this role but anticipates needs next year and is accepting applications in the meantime. About Statsig Statsig is on a mission to fundamentally change how software is built, tested, and shipped. Thousands of companies use Statsig to deploy features safely, run experiments that drive understanding of their customers and business, and analyze user trends to inform their next investment areas. This isn't just about building a better A/B testing tool; this is about catalyzing positive change in how builders build, ultimately resulting in better products and happier customers!
Who You Are Statsig is seeking a talented and motivated individual to join our Data team as a Software Engineer-Data Platforms. As a Software Engineer-Data Platforms, your primary responsibility will be to ensure our data pipelines and computations are accurate, reliable, efficient, and fast. As an analytics company, data engineering is core to our success. Data is our life blood and our competitive advantage. The data team is roughly 8-10 individuals, and you'll be closely working with other data platform engineers, data scientists, and other software engineering teams. Product we’re building The product we offer is based on the growth infrastructure powering big tech companies like Meta, Amazon, Uber, Netflix, and LinkedIn. This growth engine allowed Facebook grow to more than 3 billion users (Why we started Statsig, https://blog.statsig.com/why-we-started-statsig-45cd80079e7d ). Product teams at successful tech companies use the tools and infrastructure on a daily basis which enables them to stay in the Build > Measure > Learn > Build loop. This unlocks rapid software development, quick user feedback, and the ability to iterate rapidly with advanced analytics. At Statsig, we’re bringing that power to every product team. We specialize in delivering feature release management, experimentation, and advanced analytics. Currently, Statsig's data infrastructure handles >100B daily events, thousands of experiments, across hundreds of customers, and billions of users (unique user_ids). Ideal Experience Proficient in Python, with expertise in SQL. Prior experience in Java, Node.js, Rust, and React are considered a
