
Senior Software Engineer - Data Acquisition
San Mateo, CA · San Mateo · USD 196,750-243,290 / year · 5+ years experience · Full-time · Onsite · Posted Oct 9, 2026
At a glance
- Experience
- 5+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- San Mateo, CA · San Mateo
- Salary
- USD 196,750-243,290 / year · Base salary
- Visa sponsorship
- Visa sponsorship not offered
About the role
- 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.
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
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
Workplace
- Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Skills
- AWS
- Terraform
- Amazon EKS
- Trino
- Spark
- SQL
- Python
- Pandas
- Ibis