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Top 35
Prep plan
Updated weekly · Last refresh Aug 30

Glassdoor Data Engineer Interview Questions

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

35questions
~5htotal time
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1
CodingStart here. 9 questions · ~77 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersGlassdoor
Data Structures and AlgorithmsMedium

Tests general problem-solving with standard data structures and algorithm patterns.

Hash TablesArraysTreesGlassdoor
Python for Large-Scale DataMedium

Tests practical Python data engineering skills for processing large volumes.

Hash TablesArraysSortingGlassdoor
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2
Pipelines8 questions · ~69 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityGlassdoor
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityGlassdoor
Improving a Data PipelineMedium

Tests pipeline improvement skills and measurable outcomes.

ETLOwnershipQualityGlassdoor
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3
SQL & Data Manipulation10 questions + 3 drills · ~116 min
Handling Missing DataHard

Tests data quality handling and correct treatment of missingness.

Window FunctionsData WranglingCTEsGlassdoor
Optimize SQL QueriesMedium

Tests your approach to improving query performance and understanding of SQL execution behavior.

performancequery optimizationsqlGlassdoor
Classify Power Users by ActivityMedium
Practice
Practice drill

Use joins, CTEs, and aggregations to classify power vs casual users and compare their engagement metrics.

JoinsGroup ByCase WhenGlassdoorQuora
Top Job Listings by EngagementMedium
Practice
Practice drill

Rank active Glassdoor job listings using a weighted CASE expression, LEFT JOIN, aggregation, date filtering, and deterministic tie-breaking.

JoinsRankingAggregationsGlassdoor
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
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4
Behavioral & Leadership8 questions · ~69 min
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The finish line: interview-readyComplete all 35 questions plus 3 hands-on drills to finish this plan.