UC San Francisco Data Engineer Interview Questions
The questions to prepare for a UC San Francisco Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain your preferred extraction and transformation stack, and the reasoning behind those tool choices.
UC San FranciscoExplain the ETL process, why it matters, and how it fits into a practical data pipeline.
UC San FranciscoApproach for maintaining data quality and integrity across ETL pipelines.
UC San FranciscoTests algorithmic thinking and ability to reason about performance for data transformations.
UC San FranciscoTests practical coding ability for data preparation tasks used in production pipelines.
UC San FranciscoTests design of caching strategies to improve throughput and reduce repeated computation.
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Tests query tuning skills, indexing, and performance troubleshooting in SQL-based pipelines.
UC San FranciscoTests understanding of database models and when to choose each for data engineering needs.
UC San FranciscoAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
Total Wine & More
Inc.
Benjamin MooreCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADPClean inconsistent expense records with CTEs, joins, CASE logic, and aggregation to summarize valid spend by department.
University of Colorado Denver