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Arthur J. Gallagher & Data Engineer Interview Questions

The questions to prepare for a Arthur J. Gallagher & Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
PipelinesStart here. 11 questions · ~88 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityArthur J. Gallagher &
Integrating Multiple Data SourcesEasy

Common pipeline issues when combining multiple data sources, including schema mismatch, data quality, orchestration, and duplicate handling.

ETLData ModelingQualityArthur J. Gallagher &
Data Governance in PipelinesMedium

Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.

InfrastructureQualityArthur J. Gallagher &
Model Analytics Warehouse for RetailEasy

Design an ELT pipeline and warehouse data model in Snowflake for retail analytics, including dimensional modeling, orchestration, and data quality.

InfrastructureData ModelingQualityArthur J. Gallagher &
Structured vs Unstructured DataEasy

Explain how structured and unstructured data differ, and why that matters for pipeline design and downstream processing.

ETLData ModelingQualityArthur J. Gallagher &
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2
More topics3 questions · ~24 min
Memory-Efficient Dataset MergeMedium

Tests algorithmic thinking and efficiency for large-scale data merges.

Hash TablesArraysTwo PointersArthur J. Gallagher &
Optimizing SQL PerformanceMedium

Tests query tuning skills such as indexing, execution plans, and efficient SQL patterns.

JoinsData WranglingAggregationsArthur J. Gallagher &
Python Data CleaningEasy

Tests practical Python skills for data preparation and correctness.

Hash TablesArraysStringsArthur J. Gallagher &

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Team Performance Cost AnalysisMedium
Practice
Practice drill

Use joins, a CTE, and date aggregation to calculate monthly team volume, average turnaround time, and cost per unit.

Date FunctionsJoinsGroup ByArthur J. Gallagher &Unity TechnologiesVirtual Employee
Flag Incomplete Campaign TrackingMedium
Practice
Practice drill

Use joins, CTEs, CASE, and null handling to quantify missing tracking data by campaign and channel.

null handlingData Wranglingdata integrityArthur J. Gallagher &
Top 3 Policies Per RegionEasy
Practice
Practice drill

Use ROW_NUMBER and a region join to identify the three highest-grossing active policies in each region.

Window FunctionsRankingAggregationsArthur J. Gallagher &State Farm
The finish line: interview-readyComplete all 14 questions plus 3 hands-on drills to finish this plan.