Roblox
Mid
Build reliable, reusable data pipelines and datasets that power decisions across Roblox's platform
This role sits on Roblox's Datasets team within Foundation AI, building core data pipelines, datasets, and tooling used broadly across Infra, Economy, Creator, Growth, Safety, and other pillars. Despite the 'early career, req-based' routing and 1+ year experience bar, expect solid SQL and pipeline-design questions plus an emphasis on turning ambiguous data needs into reliable, well-modeled data assets.
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What this interview tests
- SQL proficiency (joins, aggregations, window functions)
- ETL/data pipeline design and orchestration
- Data quality, observability, and discoverability
- Turning ambiguous stakeholder requests into reusable data assets
- Programming fundamentals (Python, C#, C++, or Go)
Common question themes
Write and explain a SQL query involving joins and aggregation
How would you design a dataset schema for reuse across multiple teams
Describe an ETL pipeline you built or contributed to, including failure handling
How do you clarify ambiguous data requirements from a non-technical stakeholder
How would you improve data quality or observability in an existing pipeline
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