Senior Software Engineer - Data Acquisition

About the Role

We are seeking a Senior Software Engineer to join our new Data Intake team within Foundation AI. 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.

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.

Qualifications

• 5+ years of work experience building production-grade, scalable, and reliable data systems; B.S. equivalent in CS or sufficient experience.
• AWS infrastructure understanding (VPC, endpoints, private link, Terraform, Amazon EKS).
• Infrastructure networking knowledge (k8s ingress, load balancers, and VPC networking).
• Data infrastructure understanding (Trino/Spark system configuration).
• Strong SQL and distributed engine knowledge.
• Python and notebook data stack experience (e.g., pandas, ibis).
• Excellent cross-functional collaboration skills with an interest in building systems that enable and accelerate team productivity.