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Updated weekly · Last refresh Aug 30

Google Data Engineer Interview Questions

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

50questions
~9htotal time
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1
CodingStart here. 14 questions · ~148 min
Parse and Count Error CodesMedium
Practice
Recently asked

Extract error codes from log lines, count frequencies with a hash table, and return a sorted formatted summary.

json parsingStringsData StructuresGoogle
Efficient Logic Coding ChallengeMedium
Practice
Recently asked

Find the shortest contiguous Google Cloud Dataflow event range containing every required label using a sliding window.

pythonGoogle
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2
SQL & Data Manipulation14 questions + 1 drill · ~158 min
Top Percent Users by ActivityHard
Practice
Recently asked

Use CTEs and RANK to return the top 5% of Google Workspace users, preserving ties and rank gaps.

Window FunctionsRankingAggregationsGoogle
Top Local Campaigns Per RegionMedium
Practice
Recently asked

Rank local Google Ads campaigns by regional ROAS and return the top three performance ranks, including ties.

Window FunctionsJoinsRankingGoogle
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
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3
Execution4 questions · ~42 min
Recent Data Pipeline Project WalkthroughEasy
Recently asked

Walk through a recent data engineering project, focusing on execution, stakeholder alignment, risks, and measurable outcomes.

Trade-offsRoadmappingScope ManagementGoogle
Discuss Past Project ExecutionEasy
Recently asked

Explain how you structure behavioral answers about past data engineering projects, teamwork, ownership, and stakeholder management.

Trade-offsRisk AssessmentScope ManagementGoogle
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4
Pipelines14 questions · ~148 min
Monitor a Mission Critical PipelineMedium
Recently asked

Design a monitoring and alerting approach for a mission critical pipeline, covering system health, data quality, and operational response.

InfrastructureToolsQualityGoogle
Backfill While Preserving Real TimeHard
Recently asked

Approach for running large historical backfills without breaking real-time pipeline freshness or correctness.

Stream ProcessingDependenciesBackfillingGoogle
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5
Behavioral & Leadership4 questions · ~42 min
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The finish line: interview-readyComplete all 50 questions plus 1 hands-on drill to finish this plan.