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The Church of Jesus Christ of Latter-day Saints Data Engineer Interview Questions

The questions to prepare for a The Church of Jesus Christ of Latter-day Saints Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 16 questions + 1 drill · ~149 min
Schema Design for Analytics vs OLTPMedium

Explain how to choose normalized or denormalized schemas for transactional and analytics workloads, including trade-offs in performance and data quality.

JoinsData WranglingAggregationsThe Church of Jesus Christ of Latter-day Saints
Window Ranking in Ticket QueuesMedium

Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.

Window FunctionsRankingrow_numberThe Church of Jesus Christ of Latter-day Saints
SQL for Patron AnalyticsMedium

Tests SQL table design and query skills for producing demographic and active-patron counts.

database managementsql queryThe Church of Jesus Christ of Latter-day Saints
Find Spending Variance Drivers by DepartmentHard
Practice
Practice drill

Use joins and LAG to isolate departments driving a large month-over-month spending variance.

JoinsData WranglingGroup ByState of CaliforniaUniversity of ChicagoThe Church of Jesus Christ of Latter-day Saints
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2
Pipelines18 questions · ~156 min
Backfill While Preserving Real TimeHard

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

Stream ProcessingDependenciesBackfillingThe Church of Jesus Christ of Latter-day Saints
Monitoring in Data PipelinesEasy

Explain why monitoring matters in pipeline operations and which tools you would use for visibility, alerts, and data quality checks.

InfrastructureToolsQualityThe Church of Jesus Christ of Latter-day Saints
Describe a Complex Transformation PipelineMedium

Explain a complex ETL transformation you built, including the main challenges and how you handled them.

ETLData ModelingQualityThe Church of Jesus Christ of Latter-day Saints
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionThe Church of Jesus Christ of Latter-day Saints
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3
More topics1 question · ~9 min
Data Engineering with Python, Java, or ScalaEasy

Tests programming experience relevant to building robust data processing components.

Hash TablesArraysStringsThe Church of Jesus Christ of Latter-day Saints
The finish line: interview-readyComplete all 35 questions plus 1 hands-on drill to finish this plan.