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Top 22
Prep plan
Updated weekly · Last refresh Aug 30

Checkr Data Engineer Interview Questions

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

22questions
~4htotal time
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1
SQL & Data ManipulationStart here. 6 questions + 2 drills · ~78 min
7-Day Rolling Average ExportsMedium
Practice

Calculate a 7-day rolling average of Adobe Acrobat document exports using a window function.

Data AnalysisAggregationsCheckr
Handling Deadlocks in Concurrent TransactionsMedium

Explain how to detect, prevent, and recover from deadlocks in concurrent PostgreSQL transaction workloads.

deadlocksdatabase managementmysqlCheckr
Optimizing Large Transaction Table JoinsHard

Explain how to tune a slow PostgreSQL query that joins several large transaction tables using indexes, join strategy, and partitioning.

JoinsperformancesqlCheckr
SQL Top 10 Sales QueryEasy
Practice
Practice drill

Use joins, date filtering, and aggregation to find Checkr's top 10 products by sales in the previous quarter.

Date FunctionsRankingAggregationsCheckrIntel
Analyzing Operations Bottlenecks with SQLHard
Practice
Practice drill

Use multi-level CTEs, joins, and LAG to identify Samsung regional inventory shortages and late deliveries.

JoinsperformanceAggregationsSamsung ElectronicsApeel Sciences
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2
Coding6 questions · ~58 min
Merge Overlapping IntervalsMedium
Practice

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

ArraysSearchingSortingCheckr
Rate Limiter for API BackpressureMedium

Tests systems design for backpressure and protecting data stores under load.

network requestscachingData StructuresCheckr
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3
Pipelines10 questions · ~96 min
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityCheckr
Backfill While Preserving Real TimeHard

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

Stream ProcessingDependenciesBackfillingCheckr
Monitor SQL Database BottlenecksMedium

Key SQL database metrics to watch for bottlenecks in pipeline workloads.

databaseperformance metricsbottlenecksCheckr
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The finish line: interview-readyComplete all 22 questions plus 2 hands-on drills to finish this plan.