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 AreStatsig 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 buildingThe 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 ExperienceProficient 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.
Authorized to work in the US.
Able to work full-time, in-person out of our Bellevue office during normal business hours.
4+ 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.
EEOCStatsig is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
What We Do
Statsig is a one-stop platform designed to streamline your product development process. It brings together essential tools like feature flags, experimentation, and analytics into a single, unified solution. By having everything in one place, Statsig lets your team make data-driven decisions, iterate quickly, and drive growth.
Built on a robust infrastructure, Statsig handles over a trillion events every day. With 99.99% guaranteed uptime and lightning-fast responses, it supports massive-scale usage by industry leaders like OpenAI, Microsoft, and Notion. This means you can trust Statsig to keep up, no matter how big your product gets.
Statsig empowers your team to build software the right way. By fostering a culture of data-driven decision-making and collaboration, Statsig helps you:
-- Run sophisticated experiments with advanced statistical analysis
-- Manage feature releases with complete control and scalability
-- Gain actionable insights from product analytics and session replays
-- Iterate quickly and make informed decisions based on real-time data
Statsig's infrastructure is built for massive scale. It processes over a trillion events per day with 99.99% uptime and super-fast response times. This reliability supports critical operations for industry leaders to supercharge their product development using Statsig. They've boosted experimentation speed, improved core business metrics, and accelerated growth—all while keeping the focus on delivering value to their users.
Fostering a culture of experimentation is crucial for companies looking to innovate and grow efficiently. Statsig makes this easy by providing a platform that simplifies running experiments and analyzing results. With Statsig, teams can set up and manage experiments effortlessly, ensuring that data-driven insights guide product decisions.
Why Work With Us
We’re powered by a builder-first culture rooted in innovation, impact, and ownership. We move fast, value outcomes over effort, and encourage everyone to challenge the status quo with “No Sacred Cats.” Engineers collaborate openly, ship real features from day one, and grow alongside teammates who care deeply about craftsmanship and each other.
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