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Updated weekly · Last refresh Aug 30

Superhuman Data Engineer Interview Questions

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

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

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

schema designdata architectureSuperhuman
Refactoring a Slow ETL JobHard

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

refactoringdata processingETLSuperhuman
Optimizing Data Transformation PipelinesMedium

Tests your approach to improving performance of data transformation pipelines.

data processingperformanceSuperhuman
Handling Complex Timestamp ColumnsMedium

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

Data ManipulationSuperhuman
Data Quality for Unstructured LogsHard

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

Data Qualitydata validationSuperhuman
2
Behavioral & Leadership3 questions · ~24 min
Resolving Technical Conflict on ApproachMedium

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
Manipulating Timestamp DataFramesMedium

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

Superhuman
Data Structures and AlgorithmsMedium

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

Data StructuresAlgorithmsSuperhuman

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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 FunctionsAggregationsCurefitReachMobiIndeed
Validate Migration Reconciliation MetricsMedium
Practice
Practice drill

Use CTEs, joins, aggregations, and CASE to reconcile legacy and warehouse totals for a migration batch.

data validationdata integritycloud platformsAccenture
SQL Data Quality ChecksHard
Practice
Practice drill

Detect missing fields, duplicate transaction keys, invalid amounts, and merchant reference issues with PostgreSQL CTEs and joins.

Data Qualitynull handlingdata integritySigmoid
The finish line: interview-readyComplete all 10 questions plus 3 hands-on drills to finish this plan.