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Principal Financial Group Data Engineer Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 17 questions + 2 drills · ~161 min
Window Functions for AnalyticsEasy
Practice

Use a CTE and ROW_NUMBER to rank active retirement plan participants by first-quarter contributions.

Window FunctionsRankingCTEsPrincipal Financial Group
Running Totals for Sales ReportingMedium
Recently asked

Explain how to calculate cumulative totals in SQL using window functions, ordering, and optional pre-aggregation.

Window FunctionsDate FunctionsRunning TotalsPrincipal Financial Group
Star vs Snowflake for OpsMedium
Recently asked

Explain how to choose between star and snowflake schemas for corporate operations reporting, balancing query simplicity, integrity, and performance.

snowflake schemastar schemaData ModelingPrincipal Financial Group
SQL for Duplicate RecordsEasy
Practice
Practice drill

Identify repeated Principal claims using GROUP BY, a CTE, and a LEFT JOIN to member details.

Group ByHavingAggregationsTeachablePrincipal Financial Group
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
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2
Pipelines24 questions · ~199 min
Data Governance in PipelinesMedium
Recently asked

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

InfrastructureQualityPrincipal Financial Group
Legacy Data Migration ConsistencyHard
Recently asked

Approach for keeping data consistent during a legacy-to-new-platform migration, including validation, replay safety, and reconciliation.

ETLData ModelingQualityPrincipal Financial Group
Data Quality and Schema EvolutionMedium
Recently asked

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityPrincipal Financial Group
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3
Coding5 questions · ~41 min
Automate ETL Workflows with CodeEasy

Evaluates your practical coding approach to building reliable, repeatable ETL for Principal Financial Group.

Hash TablesArraysSortingPrincipal Financial Group
Solve Without LeetCode TricksEasy

Evaluates your ability to apply practical engineering reasoning over memorized patterns.

Hash TablesArraysSortingPrincipal Financial Group
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4
Behavioral & Leadership4 questions · ~33 min
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.