Top 22
Prep plan
Updated weekly · Last refresh Aug 30

State Street Data Engineer Interview Questions

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

22questions
~3htotal time
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1
PipelinesStart here. 6 questions · ~48 min
Data Quality and Schema EvolutionMedium

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

schema evolutionData ModelingQualityState Street
Airflow DAG Self-HealingHard

Tests your operational resilience practices for keeping State Street pipelines running despite upstream failures.

observabilityDependenciesairflowState Street
End-to-End S3 Airflow Redshift PipelineHard

Tests your ability to architect scalable ingestion pipelines using AWS services for State Street data flows.

ETLOrchestrationCloudState Street
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2
SQL & Data Manipulation5 questions + 3 drills · ~70 min
3
Behavioral & Leadership9 questions · ~72 min
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4
More topics2 questions · ~16 min
Python CSV to Parquet on S3Medium

Tests your ability to implement efficient Python-based ETL from S3 to columnar storage for analytics at State Street.

parquetData WranglingpythonState Street
Pandas DataFrame in PythonMedium

Assesses practical Python and pandas skills for transforming and analyzing tabular data.

pandaspythonState Street
The finish line: interview-readyComplete all 22 questions plus 3 hands-on drills to finish this plan.