Top 35
Prep plan
Updated weekly · Last refresh Oct 17

Glassdoor Data Engineer Interview Questions

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

35questions
~7htotal time
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1
CodingStart here. 8 questions · ~96 min
Detect Anomalies and OutliersMedium
Practice

Identify numeric outliers by calculating quartiles and applying the interquartile range rule.

ArraysSearchingSortingGlassdoor
Merge Two Sorted ArraysEasy
Practice

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

ArraysSortingTwo PointersGlassdoor
Language-Agnostic CodingMedium
Practice

Choose an appropriate algorithmic strategy from input structure, ordering, and scale before writing code.

Codingclean codeAlgorithmsGlassdoor
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2
SQL & Data Manipulation10 questions · ~121 min
Optimize SQL QueriesMedium
Practice

Optimize a PostgreSQL aggregation query by filtering early, reducing rows before joins, and returning qualifying active customers.

database optimizationperformanceindexesGlassdoor
Handling Missing DataMedium
Practice

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningGlassdoor
SQL Query for AuthorsEasy
Practice

Use SQL aggregation and HAVING to identify authors with at least five published books.

aggregationGroup Bysql queriesGlassdoor
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3
Pipelines8 questions · ~96 min
Debugging Production Data PipelinesMedium

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

InfrastructureToolsQualityGlassdoor
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityGlassdoor
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4
Behavioral & Leadership9 questions · ~109 min
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