Dataford
Dataford
Top 22
Prep plan
Updated weekly · Last refresh Oct 17

Checkr Data Engineer Interview Questions

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

22questions
~4htotal time
Track your progressSign up free to work through all 22 questions and resume where you left off.
Start practicing free →
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 FunctionsRankingAggregationsCheckrIntelAArya.ai
Top 5 Assets QueryMedium
Practice
Practice drill

Find the five active assets with the highest average return using aggregation, a CTE, and a join.

JoinsData AnalysisperformanceeeClerx
More SQL & Data Manipulation questions with a free account
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
Code Refactoring Based on a MappingMedium

Assesses your ability to refactor safely while preserving behavior using mapping-driven logic.

Checkr
More Coding questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Pipelines10 questions · ~96 min
Monitor SQL Database BottlenecksMedium

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

databaseperformance metricsbottlenecksCheckr
Backfill While Preserving Real TimeHard

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

Stream ProcessingDependenciesBackfillingCheckr
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessCheckr
More Pipelines questions with a free account
The finish line: interview-readyComplete all 22 questions plus 2 hands-on drills to finish this plan.