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Updated weekly · Last refresh Oct 17

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 daily.

50questions
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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
Star vs Snowflake for OpsMedium

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
Classify Orders with CASE WHENEasy

Explain how CASE WHEN adds conditional logic to SQL queries for labeling, transforming, and aggregating data.

Data WranglingCase WhenAggregationsPrincipal Financial Group
Optimize a Slow SQL QueryHard
Practice
Practice drill

Rewrite a slow PostgreSQL loan payment query to reduce scanned rows while preserving the required aggregated results.

database optimizationJoinsData WranglingAmeripriseEEltro Cyberchrome PrivateEnergyHub
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
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2
Pipelines24 questions · ~199 min
Legacy Data Migration ConsistencyHard

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

ETLData ModelingQualityPrincipal Financial Group
Choose Delta for Lakehouse PipelinesEasy

Design a Databricks lakehouse pipeline and defend choosing Delta Lake over Iceberg and Hudi for mixed batch and streaming workloads.

Principal Financial Group
Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformancePrincipal 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.