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Updated weekly · Last refresh Aug 30

Roku Data Engineer Interview Questions

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

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1
CodingStart here. 8 questions · ~79 min
Detect Cycles in Pipeline GraphEasy
Practice

Detect circular Roku data-pipeline dependencies using DFS with three-state graph traversal.

dfsAlgorithmsGraphsRoku
Maximum Subarray Using KadaneEasy
Practice

Compute the maximum contiguous subarray sum in O(n) time using Kadane's Algorithm.

Basic AlgorithmsDynamic ProgrammingArraysRoku
Merge Overlapping IntervalsMedium
Practice

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingRoku
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2
SQL & Data Manipulation4 questions + 3 drills · ~69 min
Optimizing Skewed JoinsHard

Tests join optimization strategies for skew and performance at Roku scale.

Performance TuningJoinsRoku
SCD Type 2 in WarehouseMedium

Tests data warehousing design for historical tracking of Roku-related dimensions.

transactionsdimensionsData ModelingRoku
SQL Join for Top EarnersEasy
Practice
Practice drill

Use ORDER BY and LIMIT to return Roku's two highest-paid employees.

queriesJoinssqlRoku
SQL Table Query With Filters and AggregatesEasy
Practice
Practice drill

Aggregate Roku Channel viewing by content category for a date range using WHERE, GROUP BY, COUNT, SUM, and AVG.

sqlRoku
SQL for Streaming AnalyticsEasy
Practice
Practice drill

Aggregate Roku streaming minutes by month for Q2 2020, using a join, date filtering, and rounding.

aggregationsqlRoku
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3
Pipelines6 questions · ~59 min
Partitioning vs Bucketing at ScaleMedium

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

Roku
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessRoku
Kafka to Spark Real-Time ClickstreamHard

Tests real-time pipeline design for Roku clickstream ingestion and processing.

Stream ProcessingkafkasparkRoku
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4
Behavioral & Leadership10 questions · ~98 min
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The finish line: interview-readyComplete all 28 questions plus 3 hands-on drills to finish this plan.