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Updated weekly · Last refresh Aug 30

Robert Half Data Engineer Interview Questions

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

12questions
~2htotal time
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1
PipelinesStart here. 8 questions · ~64 min
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityRobert Half
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityRobert Half
Data Cleaning in ETL PipelinesEasy

Approach for cleaning and preparing raw data inside an ETL pipeline.

Data WranglingETLQualityRobert Half
Optimizing Models for TableauMedium

Assesses your ability to design analytics-ready models that support Tableau performance and usability.

performance optimizationData ModelingRobert Half
Choosing AWS Storage OptionsMedium

Assesses how you select AWS storage technologies based on workload and constraints.

Decision Makingawsdata storageRobert Half
Matillion ETL OrchestrationMedium

Evaluates your hands-on experience orchestrating ETL workflows and dependencies.

data engineeringRobert Half
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2
Behavioral & Leadership3 questions · ~24 min
Clarifying Vague Stakeholder RequirementsMedium

Tests how you gather requirements under ambiguity by using stakeholder management, structured communication, and problem clarification.

User NeedsDealing With AmbiguityrequirementsRobert Half
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3
More topics1 question · ~8 min
SQL Coding Under PressureHard

Tests your practical SQL skills and ability to deliver under time pressure.

coding challengesqlRobert Half

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 12 questions plus 3 hands-on drills to finish this plan.