Software Engineer- Data

Overview

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 is about catalyzing positive change in how builders build, ultimately resulting in better products and happier customers.

As a Software Engineer-Data Platforms, your primary responsibility will be to ensure our data pipelines and computations are accurate, reliable, efficient, and fast. You will work closely with other data platform engineers, data scientists, and software engineering teams to build and maintain the growth infrastructure powering our analytics engine.

We specialize in feature release management, experimentation, and advanced analytics. Our data infrastructure handles over 100B daily events, thousands of experiments, across hundreds of customers, and billions of users.

• Proficient in Python, with expertise in SQL. Bonus: experience in Java, Node.js, Rust, or React.
• Familiar with big data technologies like Big Query and Spark, or a strong background in distributed data processing and data modeling.
• Advanced knowledge and hands‑on experience working with data architectures and modern cloud technologies.
• Comfortable in fast, high‑growth environments with a strong bias for action.

• Authorized to work in the U.S.
• 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 work full‑time from our Bellevue office.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Statsig 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.