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Prep plan
Updated weekly · Last refresh Oct 17

PrizePicks Data Engineer Interview Questions

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

19questions
~3htotal time
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1
PipelinesStart here. 11 questions · ~88 min
Pipeline Alerting and Monitoring DesignMedium

Set up pipeline monitoring and alerting that catches critical failures quickly while limiting noisy alerts.

InfrastructureToolsQualityPrizePicks
Preferred ETL and Transformation ToolsEasy

Explain your preferred extraction and transformation stack, and the reasoning behind those tool choices.

ToolsETLELTPrizePicks
Design High-Throughput Event PipelineHard

Design a real-time event pipeline that can handle millions of events per second with sub-second latency.

data pipelineevent processinglatencyPrizePicks
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityPrizePicks
Schema Evolution Without DowntimeMedium

Assesses strategies for safe schema changes while maintaining availability.

schema evolutionproductionPrizePicks
Debugging Stakeholder Data IssuesMedium

Tests your troubleshooting process and communication when resolving complex data problems.

Debuggingstakeholder communicationPrizePicks
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2
Behavioral & Leadership7 questions · ~56 min
Cross-Functional Data Delivery Under ConstraintsMedium

Tests cross-functional delivery, stakeholder alignment, and ownership in shipping a data solution with measurable business impact.

Stakeholder ManagementCommunicationOwnershipPrizePicks
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3
More topics1 question · ~8 min
Query and Process OptimizationMedium

Tests your approach to diagnosing and improving performance in production data workflows.

performancequery optimizationmethodologyPrizePicks

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Weekly Signup Cohort RetentionHard
Practice
Practice drill

Calculate weekly retention by signup cohort using CTEs, joins, date truncation, and distinct user counts.

Window FunctionsDate FunctionsAggregationsBrexPostmaneToro
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 19 questions plus 3 hands-on drills to finish this plan.