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Updated weekly · Last refresh Sep 22

Software Technology Data Engineer Interview Questions

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

8questions
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1
PipelinesStart here. 4 questions · ~32 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualitySoftware Technology
Designing a Warehouse SchemaMedium

Evaluates your approach to dimensional modeling, normalization, and schema design decisions.

schema designdata warehouseData ModelingSoftware Technology
Data Lake vs Data WarehouseMedium

Evaluates your understanding of data platform architecture and how to apply it to Software Technology's stack.

data warehousedata architectureSoftware Technology
Batch vs Stream Trade-offsMedium

Assesses your ability to choose the right processing approach based on latency, cost, and reliability.

Stream ProcessingBatch ProcessingSoftware Technology
2
Behavioral & Leadership3 questions · ~24 min
Prioritizing Competing Data RequestsMedium

Tests prioritization under pressure in a data engineering context, including stakeholder management, trade-off decisions, and ownership of outcomes.

Decision MakingStakeholder ManagementPrioritizationSoftware Technology
Leading Inefficiency FixesMedium

Assesses initiative, problem-solving, and impact from process or system improvements.

LeadershipSoftware Technology
Resolving Data Definition ConflictsMedium

Tests conflict resolution and alignment on data definitions and ownership.

Conflict ResolutionCommunicationSoftware Technology
3
More topics1 question · ~8 min
Optimizing Slow Production SQLMedium

Tests practical SQL performance tuning and troubleshooting in production constraints.

productionSoftware Technology

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
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
Data Warehouse vs Data LakeEasy
Practice
Practice drill

Aggregate platform metadata to compare warehouse and lake suitability for governed analytics and raw enterprise data.

data managementdata warehouseAggregationsIIBM IndiaIBM
Multi-Tenant Ledger SchemaHard
Practice
Practice drill

Design a tenant-isolated Mercury ledger schema and report posted account balances with transaction counts.

ledgerfinancial datamany-to-oneMercury
The finish line: interview-readyComplete all 8 questions plus 3 hands-on drills to finish this plan.