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Addison Group Data Engineer Interview Questions

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

23questions
~3htotal time
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1
PipelinesStart here. 21 questions · ~168 min
Coordinate Cross-Team Pipeline DependenciesEasy

Design a dependency-aware ETL orchestration system that coordinates engineering, QA, and client handoffs for 1,200 daily feeds with strict 6 AM SLAs.

OrchestrationDependenciesQualityAddison Group
Data Profiling in ETL PipelinesEasy

Discuss how to use data profiling to understand source data and improve pipeline quality.

Data ModelingQualityAddison Group
Optimize High-Volume Transaction ETL with Entity FrameworkMedium

Design an ETL pipeline using Entity Framework to handle 1M transactions per day with strict data quality and performance requirements.

InfrastructureToolsETLAddison Group
Automated Testing for Data PipelinesEasy

Discuss how you use automated testing tools to validate pipeline logic, data quality, and orchestration behavior.

InfrastructureToolsQualityAddison Group
Describe a Complex Transformation PipelineMedium

Explain a complex ETL transformation you built, including the main challenges and how you handled them.

ETLData ModelingQualityAddison Group
Prevent PII in LogsMedium

Tests your ability to protect personal data across operational and dev workflows.

ETLSecurityData ModelingAddison Group
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2
More topics2 questions · ~16 min
Optimize a Slow QueryHard

Tests your query optimization, debugging approach, and performance tuning skills.

Performance TuningsqlAggregationsAddison Group
Sales Reporting Data ModelMedium

Tests your ability to model data for analytics and justify keys and relationships.

JoinsAggregationsData ModelingAddison Group

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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 23 questions plus 3 hands-on drills to finish this plan.