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Updated weekly · Last refresh Oct 17

Superhuman Data Engineer Interview Questions

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

10questions
~1htotal time
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1
PipelinesStart here. 5 questions · ~40 min
Schema Design for Event DataMedium
Recently asked

Assesses your ability to design schemas that handle high-throughput event streams.

schema designdata architectureSuperhuman
Refactoring a Slow ETL JobHard
Recently asked

Tests your troubleshooting and refactoring skills for ETL performance and reliability.

refactoringdata processingETLSuperhuman
Optimizing Data Transformation PipelinesMedium
Recently asked

Tests your approach to improving performance of data transformation pipelines.

data processingperformanceSuperhuman
Data Quality for Unstructured LogsHard
Recently asked

Evaluates strategies for validating and cleaning messy log data at scale.

Data Qualitydata validationSuperhuman
Handling Complex Timestamp ColumnsMedium
Recently asked

Assesses your practical skills for correct timestamp parsing, transformation, and edge cases.

Data ManipulationSuperhuman
2
Behavioral & Leadership3 questions · ~24 min
Resolving Technical Conflict on ApproachMedium
Recently asked

Tests conflict resolution in technical disagreements, including communication, influence without authority, and ownership of the final outcome.

Conflict ResolutionStakeholder ManagementCommunicationSuperhuman
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3
More topics2 questions · ~16 min
Data Structures and AlgorithmsMedium
Recently asked

Evaluates your problem-solving skills using common data structures and algorithms.

Data StructuresAlgorithmsSuperhuman
Manipulating Timestamp DataFramesMedium
Recently asked

Assesses your ability to transform and work with timestamp data in Scala-based data pipelines.

Superhuman

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Consecutive Activity Days QueryMedium
Practice
Practice drill

Identify each user's consecutive website activity streaks using date arithmetic and SQL window functions.

Window FunctionsDate FunctionsData ManipulationIntuit Management ConsultancyChewySuperhuman
SQL and Data ManipulationMedium
Practice
Recently asked
Practice drill

Count completed events by date and describe how SQL results can be validated for correctness.

data verificationsqldata validationSuperhuman
Calculate 30-Day User RetentionHard
Practice
Practice drill

Use CTEs, joins, and date filtering to calculate 30-day retention by signup cohort from login and feature usage data.

Window FunctionsDate FunctionsAggregationsCurefitIndeedTikTok
The finish line: interview-readyComplete all 10 questions plus 3 hands-on drills to finish this plan.