Top 27
Prep plan
Updated weekly · Last refresh Aug 30

Chubb Data Engineer Interview Questions

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

27questions
~4htotal time
Track your progressSign up free to work through all 27 questions and resume where you left off.
Start practicing free →
1
PipelinesStart here. 8 questions · ~65 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityChubb
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingChubb
Choosing Database TechnologyMedium

Tests your tradeoff analysis for storage, performance, scalability, and fit for insurance data use cases.

InfrastructureData ModelingQualityChubb
More Pipelines questions with a free account
2
Coding3 questions · ~24 min
Coding with Algorithms and PatternsMedium

Tests your practical coding skills and algorithmic thinking across common data engineering tasks.

Hash TablesSortingGraphsChubb
Compare Sorting AlgorithmsMedium

Tests your ability to analyze time and space complexity and choose appropriate algorithms.

ArraysSortingGreedyChubb
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
SQL & Data Manipulation7 questions + 3 drills · ~87 min
Handling Duplicate DataEasy

Tests your data quality and deduplication strategies using SQL and data engineering practices.

Data WranglingCase WhenAggregationsChubb
SQL Basics and QueriesEasy

Tests your ability to answer foundational SQL questions relevant to data engineering work.

JoinsData WranglingAggregationsChubb
Optimize SQL Query PerformanceHard

Tests ability to diagnose bottlenecks and apply indexing, query rewriting, and execution-plan driven tuning.

database managementChubb
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice
Practice drill

Calculate the monthly spending trends for customers using window functions and joins.

The Home DepotAvisoWorld Wide Technology
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
More SQL & Data Manipulation questions with a free account
4
Behavioral & Leadership9 questions · ~73 min
More Behavioral & Leadership questions with a free account
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.