Senior Software Engineer - Data Acquisition
About The Position
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. We are seeking a senior software engineer to join our new Data Intake team. Our team owns the tooling that sources and processes the training data that Roblox’s future foundation models are built on. As an engineer on the team, you’ll build out a new service that can obtain diverse datasets from a wide variety of external sources, process them into consistent formats, and store them in a reliable and easily accessible location for our models to leverage. You’ll collaborate closely with teammates across the company in data labeling and machine learning to ensure we deliver the datasets our customers need. 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 enjoy building and iterating quickly on new internal product offerings, are proficient in designing and scaling robust API integrations and data infrastructure, and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our team and make a significant impact at Roblox.
Requirements
- 5+ years of work experience building production-grade, scalable, and reliable data systems; B.S. equivalent in CS or sufficient experience.
- 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
Responsibilities
- 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
Benefits
- equity compensation
- health insurance
- dental insurance
- vision insurance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
