Roblox-posted 4 months ago
$192,890 - $238,520/Yr
Full-time • Senior
San Mateo, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

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 senior software engineers to join the Data Platform team in building a data platform that powers the success of tens of millions of monthly Roblox players.

  • Push our data platform to be robust and opinionated in domains such as data discovery and governance, metadata management, managed ETL and streaming, Spark optimization, and more.
  • Partner with ML, Data Engineering, Data Science and Product teams to support their use cases.
  • Build the next-gen metrics platform that enables efficient and accurate product analytics across the company.
  • Be part of a highly collaborative and dynamic team where we value ownership and opinions.
  • Directly influence and shape the data culture and practices across the entire company, building from scratch and see impact in days/weeks not months years.
  • Stay current with emerging technologies and push innovation in data across Roblox.
  • 3-5 years of experience in building and operating large-scale data-lake on AWS and/or on-prem with relevant technology such as Hive, Kubernetes, Iceberg, Flink.
  • Solid understanding of Spark, and ability to write, debug and optimize Spark or PySpark code.
  • Proficient in one of these languages: Python or Java.
  • Deep understanding in at least one of the data domains: ETL/ELT, Storage and Cost, Spark, Discovery and Metadata, Quality/O11y, Governance.
  • A graduate degree or equivalent experience in Computer Science, Engineering, or a related technical field is a plus.
  • Equity compensation
  • Health insurance
  • Flexible work schedule
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