Top 27
Prep plan
Updated weekly · Last refresh Aug 30

Empower Data Engineer Interview Questions

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

27questions
~4htotal time
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1
PipelinesStart here. 16 questions · ~129 min
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityEmpower
Backfilling Missing Pipeline DataMedium

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

ETLQualityEmpower
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityEmpower
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2
Coding3 questions · ~24 min
Implement an Algorithm on DataMedium

Tests ability to translate algorithmic logic into working code for data processing tasks.

Hash TablesArraysSortingEmpower
Explain Algorithm Time ComplexityEasy

Tests algorithmic reasoning and ability to analyze performance characteristics of data code.

MathSearchingSortingEmpower
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3
SQL & Data Manipulation7 questions + 3 drills · ~87 min
Normalization vs DenormalizationEasy

Tests data modeling tradeoffs for performance, integrity, and analytics at Empower.

JoinsData WranglingGroup ByEmpower
Optimize SQL on AWSHard

Tests cloud-specific SQL tuning and performance diagnosis in AWS-based data platforms at Empower.

SubqueriesDate FunctionsJoinsEmpower
Design Star SchemaMedium

Tests dimensional modeling skills for analytics and reporting use cases at Empower.

JoinsAggregationsData ModelingEmpower
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
More topics1 question · ~8 min
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The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.