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

How candidates describe it

Real Software Engineer interview stories — retold from candidates' public write-ups, with sources.

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