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Prep plan
Updated weekly · Last refresh Aug 30

Oak Street Health Data Engineer Interview Questions

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

24questions
~3htotal time
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1
PipelinesStart here. 16 questions · ~131 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLOak Street Health
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityOak Street Health
Design Scalable Pipeline InfrastructureHard

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

InfrastructureToolsQualityOak Street Health
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2
SQL & Data Manipulation4 questions + 3 drills · ~63 min
3
Coding3 questions · ~25 min
Implementing a Sorting AlgorithmMedium

Tests core algorithmic implementation skills and attention to correctness.

RecursionArraysSortingOak Street Health
Coding in an Unfamiliar LanguageEasy

Tests adaptability, fundamentals, and ability to translate problem-solving across languages.

Hash TablesMathArraysOak Street Health
Choosing Languages for Data EngineeringEasy

Tests tool selection reasoning and ability to choose languages for maintainable pipelines.

Hash TablesArraysSortingOak Street Health
4
More topics1 question · ~8 min
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The finish line: interview-readyComplete all 24 questions plus 3 hands-on drills to finish this plan.