Senior Software Engineer, Data Insights
Roblox
| Company | Roblox |
| Category | Engineering |
| Location | San Mateo |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 9 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking a senior data infrastructure engineer to join our new Data Insights team. Our team owns the data tooling that empowers Roblox builders to independently make informed and timely data-driven decisions.
As an engineer on the team, you’ll work on the platforms behind tools like Superset, Hex, and Python notebooks, which provide critical insights into the health of our business to users at every level of the company. We tackle diverse challenges in data engineering, infrastructure, and analytics, to deliver the insights our customers need. You will collaborate closely with engineers across our data ecosystem to shape the future of product analytics at Roblox. This role offers the chance to be a founding team member and help define both the technical direction and the long-term shape of the product area from the ground up.
This role is a great fit for you if you are proficient in designing and scale robust data infrastructure and applications and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our team and make a significant impact at Roblox.
You Will:
Architect and deliver a high-performance analytics environment that serves thousands of queries daily
Design and scale robust data infrastructure for powering data retrieval and visualization
Ensure data systems are reliable, observable, privacy-compliant, and performant
Bridge the gap between data engineering, analytics, and infrastructure to deliver a suite of best-in class, fully featured, and easy to use data tools.
Build intelligent agentic automation to simplify and accelerate analytical workflows
Contribute to internal platforms and tools that abstract complexity, improve developer productivity, and accelerate innovation
Be a tech lead and mentor junior engineers
Self-organize and take ownership of projects throughout their full lifecycle
You Have:
4+ years of work experience building production-grade, scalable, and reliable data systems
AWS infra understanding (VPC, endpoints, private link, Terraform, Amazon EKS)
Infra networking (k8s ingress, load balancers, and VPC networking)
Data infra understanding (Trino/Spark system configuration)
Strong SQL and distributed engine knowledge
Python and notebook data stack (e.g. pandas, ibis)
Excellent cross-functional collaboration skills; enjoy building systems that enable and accelerate team productivity
B.S. equivalent in CS or sufficient experience.
Nice to Have:
Okta experience
On call experience and technical troubleshooting
White glove customer support
Surface level React or experience with agents/skills to handle front end or both
Identity & Access Management (IAM)
Proven experience handling Python and TypeScript manipulations for supporting Apache Superset
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location,
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