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Peterson Institute for International Economics Data Engineer Interview Questions

The questions to prepare for a Peterson Institute for International Economics Data Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
PipelinesStart here. 4 questions · ~32 min
Testing and CI for PipelinesEasy

Explain how you apply automated testing and CI practices to data pipelines and pipeline releases.

InfrastructureToolsQualityPeterson Institute for International Economics
Data Integration Tools ExperienceEasy

Discuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.

InfrastructureToolsETLPeterson Institute for International Economics
Automating Manual WorkflowsMedium

Evaluates your automation mindset and impact on operational efficiency.

process improvementefficiencyAutomationPeterson Institute for International Economics
Debugging a Pipeline IssueHard

Tests your troubleshooting skills and ability to restore reliable pipeline behavior.

data pipelinesPeterson Institute for International Economics
2
Behavioral & Leadership4 questions · ~32 min
Handling Tough Code Review FeedbackMedium

Tests how you receive peer feedback in code reviews, respond constructively, and turn critique into better code and stronger team habits.

code reviewsCommunicationfeedbackPeterson Institute for International Economics
Coaching a Junior Team MemberEasy

Tests mentorship through specific feedback, communication style, and ownership of another person’s development and outcomes.

MentorshipfeedbackLeadershipPeterson Institute for International Economics
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3
More topics2 questions · ~16 min
Cleaning Messy Campaign DataEasy

Explain how to clean messy campaign data using SQL with validation, NULL handling, and structured transformation steps.

null handlingData Wranglingdata integrityPeterson Institute for International Economics
Cloud Scaling for Data InfrastructureMedium

Assesses your ability to scale data systems using cloud services and best practices.

cloud infrastructurescalabilityPeterson Institute for International Economics

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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
Cleaning a Messy DatasetMedium
Practice
Practice drill

Filter invalid game events and normalize event names using PostgreSQL string and null handling.

missing valuesdata cleaningnull handlingQuantiumScopelyCarvana
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 10 questions plus 3 hands-on drills to finish this plan.