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Updated weekly · Last refresh Aug 30

Cognira Data Engineer Interview Questions

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

19questions
~3htotal time
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1
CodingStart here. 4 questions · ~36 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersCognira
Trade-Offs in Data StructuresMedium

Tests your ability to choose appropriate data structures for performance and correctness in coding tasks.

Hash TablesTreesGraphsCognira
Explaining Time ComplexityEasy

Tests your understanding of algorithm efficiency and ability to communicate it clearly.

ToolsMathQualityCognira
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2
Pipelines12 questions · ~107 min
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityCognira
Data Governance in PipelinesMedium

Describe a practical approach to data governance across shared data pipelines, including quality, ownership, lineage, and controlled data access.

InfrastructureQualityCognira
Real-Time Dashboard Data PipelineMedium

Design a streaming pipeline that keeps dashboard data fresh and accurate for operational reporting.

InfrastructureStream ProcessingOrchestrationCognira
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3
More topics3 questions · ~27 min
Relational vs Non-RelationalEasy

Tests your foundational understanding of database models for data engineering work at Cognira.

JoinsData WranglingCognira
Optimizing SQL Query PerformanceHard

Tests your ability to diagnose and improve SQL performance using query and data modeling techniques.

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