Top 21
Prep plan
Updated weekly · Last refresh Oct 17

Handshake Data Engineer Interview Questions

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

21questions
~3htotal time
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1
PipelinesStart here. 6 questions · ~58 min
Design Safe Historical Pipeline BackfillEasy

Design a backfill process to safely reprocess 45-180 days of historical ETL data without duplicating records or disrupting daily production loads.

SchedulingDependenciesBackfillingHandshake
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityHandshake
Data Platform ArchitectureHard

Evaluates your end-to-end data platform architecture skills, including ingestion, storage, and processing.

designHandshake
Building Data PipelinesHard

Tests your experience designing and implementing real-world data pipelines.

data processingsparkHandshake
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2
Coding4 questions · ~38 min
Text-Based Recommendation SystemMedium

Assesses your approach to building a recommendation system from data through modeling and evaluation.

implementationHandshake
Shortest Path Skill MatchingHard
Practice

Use Dijkstra's algorithm and minimum-cost bipartite matching to map student skills to job requirements.

CodingSearchingData StructuresHandshake
Real-Time Event DeduplicationHard

Tests streaming data correctness, idempotency, and deduplication strategy design.

Hash TablesdeduplicationStream ProcessingHandshake
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3
Behavioral & Leadership11 questions · ~106 min
Applying New Techniques ResponsiblyEasy

Tests continuous learning in a practical setting: how you evaluate new data science approaches, apply them responsibly, and create measurable impact.

MentorshipCommunicationLeadershipHandshake
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