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Updated weekly · Last refresh Aug 30

Factual Data Engineer Interview Questions

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

20questions
~3htotal time
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1
PipelinesStart here. 10 questions · ~89 min
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityFactual
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityFactual
Handle Traffic Spikes in Data PipelinesMedium

Design a spike-resilient AWS data pipeline handling 750K events/sec while preserving low latency, data quality, and replay safety.

InfrastructureIdempotencyQualityFactual
SQL vs NoSQL DifferencesEasy

Tests database fundamentals and decision-making for storage and access patterns.

InfrastructureToolsData ModelingFactual
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2
Behavioral & Leadership7 questions · ~62 min
Prioritizing Across Competing Client ProjectsEasy

Tests prioritization under pressure across multiple projects, including trade-off judgment, stakeholder communication, and ownership of outcomes.

OwnershipPrioritizationFactual
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3
More topics3 questions · ~27 min
Longest Substring Without RepeatsMedium
Practice

Find the longest substring with all unique characters using a sliding window.

Hash TablesStringsTwo PointersFactual
Optimize Slow QueriesMedium

Tests query optimization skills for large-scale datasets in a location-data environment.

Window FunctionsJoinsAggregationsFactual
Efficient Searching Data StructureMedium

Tests data structure selection and complexity-aware implementation.

Hash TablesSearchingTreesFactual

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Running Total With Window FunctionsEasy
Practice
Practice drill

Calculate each user's running order total over time using a window function.

Window FunctionsDate FunctionsRunning TotalsInspire11Western DigitalFactual
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
The finish line: interview-readyComplete all 20 questions plus 3 hands-on drills to finish this plan.