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Updated weekly · Last refresh Aug 30

Clearwater Analytics (CWAN) Data Engineer Interview Questions

The questions to prepare for a Clearwater Analytics (CWAN) Data Engineer interview. Questions from real interview reports rank first. Updated weekly.

18questions
~3htotal time
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1
CodingStart here. 3 questions · ~28 min
Merge Two Sorted Linked ListsEasy
Practice

Merge two sorted singly linked lists into one sorted list by relinking existing nodes.

RecursionLinked ListsSortingClearwater Analytics (CWAN)
Implementing Caching for RetrievalMedium

Tests practical caching design choices and understanding of latency and consistency tradeoffs.

Hash TablesArraysGreedyClearwater Analytics (CWAN)
Processing Large DatasetsMedium

Tests ability to design scalable data processing approaches and reason about performance.

Hash TablesSortingGreedyClearwater Analytics (CWAN)
2
Pipelines8 questions · ~73 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLClearwater Analytics (CWAN)
Cleaning Missing Values in PipelinesEasy

Approach for handling missing values in a pipeline with data quality checks and repeatable transformations.

Data WranglingETLQualityClearwater Analytics (CWAN)
Diagnose an Integration Pipeline IssueMedium

Structured approach to diagnose failures in an ETL integration, from source extraction through orchestration, data quality, and idempotent recovery.

ToolsDependenciesQualityClearwater Analytics (CWAN)
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3
Behavioral & Leadership5 questions · ~46 min
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4
More topics2 questions · ~18 min
Optimizing a Slow QueryHard

Tests query profiling, indexing, execution-plan reasoning, and performance tuning skills.

Joinsquery optimizationAggregationsClearwater Analytics (CWAN)
SQL vs NoSQL DifferencesEasy

Tests understanding of data models, consistency, and when to choose SQL versus NoSQL.

JoinsData WranglingClearwater Analytics (CWAN)
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Top Customers by Net SalesMedium
Practice
Practice drill

Compute top 10 customers by net sales using joins and aggregations, ordering by revenue with deterministic tie-breaking.

SubqueriesJoinsData WranglingGain DigitalTCSZest AI
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 18 questions plus 3 hands-on drills to finish this plan.