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Updated weekly · Last refresh Oct 17

Roku Data Engineer Interview Questions

The questions to prepare for a Roku Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 9 questions · ~122 min
Transformations and KPIs with AI ToolsMedium
Practice
Recently asked

Transform event records and compute aggregate KPIs with a single Python pass.

aggregationclean codeArraysRoku
Python Data Structures Problem SolvingMedium
Practice
Recently asked

Use a Python array and dictionary to aggregate counts and totals for repeated keys.

aggregationArraysProblem SolvingRoku
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2
SQL & Data Manipulation6 questions · ~82 min
SQL with Window FunctionsMedium
Practice
Recently asked

Aggregate Roku channel ad performance and compare daily results with LEAD, LAG, and ROW_NUMBER.

Lag/LeadData ManipulationsqlRoku
Optimizing Skewed JoinsHard
Practice
Recently asked

Optimize a skewed Roku-scale JOIN by reducing fact rows before joining and separating hot keys from the general workload.

Performance Tuningdatabase optimizationlarge datasetsRoku
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3
Pipelines7 questions · ~95 min
Ingest API JSON into ETLHard
Recently asked

Implement a maintainable Python pipeline that fetches API JSON, validates records, handles retries, and loads data idempotently.

Data QualityAPIsETLRoku
Partitioning vs Bucketing at ScaleMedium
Recently asked

Design a Hive/Spark pipeline for Meta-scale event tables and explain when to use partitioning vs bucketing for performance and maintainability.

Roku
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4
Behavioral & Leadership11 questions · ~150 min
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5
More topics2 questions · ~27 min
Spark Join Strategies and CachingHard

Explain Spark join planning, execution strategies, and caching choices for streaming and declarative pipelines.

distributed systemsdata streamsarchitecture patternsRoku
System Design for Live StreamingHard

Design an end-to-end ML architecture for a live streaming app, including data, serving, evaluation, and failure handling.

ml inferencearchitecture patternsfailure modesRoku

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