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.
About Statsig
Statsig is on a mission to revolutionize how software is built, tested, and scaled.
Thousands of companies—including OpenAI, Microsoft, Atlassian, Notion, Bloomberg, Brex, Vercel, and Rippling —rely on Statsig to understand their product and find new ways to grow. We're not just building a better analytics or experimentation tool - we're changing the way products are built, so that every company can have a distributed, data-based product culture.
Backed by Sequoia Capital and Madrona Venture Group, Statsig has grown rapidly, surpassing key revenue milestones and becoming the platform of choice for leading product teams across the world.
Who we are
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 bonus.
Familiar with big data technologies like BigQuery and Spark, or a strong background in distributed data processing, data modeling, and software engineering of data services.
Advanced knowledge and hands-on experience working with data architectures and modern cloud technologies.
Comfort in working in fast, high-growth environments. The ideal candidate is comfortable with multi-tasking, ambiguous projects, and has a strong bias for action.
Requirements
Authorized to work in the US.
Able to work full-time, in-person out of our Bellevue office during normal business hours.
Minimum 3 years of hands-on software engineering experience with emphasis on data platforms.
This is a full-time, in-office role from Bellevue, WA. Candidates are expected to be able to work full-time from our Bellevue office.
Please note that this job description is subject to change and may not include all responsibilities or qualifications required for the role of Software Engineer-Data Platforms at Statsig.
