Full Job Description
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, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$196,750-$243,290 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).