Optum Data Engineer Interview Questions

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

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Handle PySpark Data Skew

Medium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewness

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Batch vs Streaming Data Processing

Easy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch Processing

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Optimizing Slow Multi-Join Queries

Hard

Tests query tuning approach, performance diagnosis, and optimization trade-offs.

Performance TuningJoinsAggregations

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Indexes and Over-Indexing Trade-offs

Medium

Tests understanding of indexing mechanics, performance impact, and write-time trade-offs.

performanceindexesquery optimization

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Python Coding: Linked List or String

Easy

Tests core coding ability and correctness in common data structure and string problems.

Linked ListsStringspython

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Python Decorators and Generators

Medium

Tests Python language fundamentals relevant to building efficient data processing pipelines.

functionspythonperformance analysis

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