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Updated weekly · Last refresh Aug 30

Arch Capital Data Engineer Interview Questions

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

29questions
~4htotal time
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1
PipelinesStart here. 12 questions · ~98 min
Star vs Snowflake SchemaEasy

Compare star and snowflake schemas in a warehouse pipeline, including structure and transformation trade-offs.

snowflake schemastar schemaData ModelingArch Capital
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityArch Capital
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityArch Capital
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2
Coding3 questions · ~25 min
Explain Time ComplexityEasy

Tests ability to analyze algorithm efficiency and communicate tradeoffs.

MathArraysArch Capital
Basic Data Cleaning OperationEasy

Tests practical data cleaning skills and attention to edge cases for analytics at Arch Capital.

Hash TablesArraysStringsArch Capital
Merging Datasets in PythonMedium

Tests practical Python skills for dataset manipulation and correctness under common edge cases.

Hash TablesArraysMatrixArch Capital

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3
SQL & Data Manipulation4 questions + 3 drills · ~63 min
SQL Top 10 Highest SalesEasy

Tests SQL proficiency for business reporting queries and ranking logic.

RankingAggregationsArch Capital
Handling Missing ValuesEasy

Tests your data cleaning judgment and how you protect analysis quality.

Data WranglingETLQualityArch Capital
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
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4
Behavioral & Leadership10 questions · ~82 min
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The finish line: interview-readyComplete all 29 questions plus 3 hands-on drills to finish this plan.