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Updated weekly · Last refresh Sep 22

Fiserv Data Engineer Interview Questions

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

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1
PipelinesStart here. 5 questions · ~40 min
Complex ETL Pipeline ArchitectureHard

Explain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.

InfrastructureETLData ModelingFiserv
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityFiserv
Azure Data Factory TradeoffsMedium

Evaluates your ability to choose orchestration tools based on requirements and constraints.

comparisonFiserv
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2
Behavioral & Leadership4 questions · ~32 min
Resolving a High-Stakes Technical ChallengeEasy

Tests ownership in solving a technical challenge under ambiguity, including prioritization, communication, and measurable execution.

CommunicationOwnershipDealing With AmbiguityFiserv
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3
More topics4 questions · ~32 min
Choosing Cloud Storage TiersMedium

Evaluates your ability to balance cost, performance, and access patterns when selecting storage.

strategyFiserv
Cloud Security and GovernanceMedium

Tests your practices for protecting data and enforcing governance in cloud systems.

SecurityCloudFiserv
High Availability in AzureMedium

Assesses your design choices for resilience and uptime in cloud data platforms.

cloud architecturehigh availabilityFiserv
Optimizing Queries for Large DatasetsMedium

Tests your skills in query optimization to improve performance and scalability for BI workloads.

Performance Tuninglarge datasetsquery optimizationFiserv

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Second Highest Without AggregatesHard
Practice
Practice drill

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsCredit GenieCisco Restaurant + BarDevoteam
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
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
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