Castlight Data Engineer Interview Questions
The questions to prepare for a Castlight Data Engineer interview. Questions from real interview reports rank first. Updated weekly.
Explain how structured and unstructured data differ, and how that changes pipeline design and downstream modeling.
CastlightCompare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.
CastlightDiscuss the data integration tools you have used and how they fit into ETL, orchestration, and data quality workflows.
CastlightEvaluate when a pipeline should use stream processing versus scheduled batch based on latency, cost, complexity, and data quality needs.
CastlightTests practical data wrangling skills and correctness of preprocessing steps.
CastlightTests understanding of scalable join strategies and performance considerations.
CastlightTests indexing, query planning, and data modeling choices that improve read performance.
CastlightAggregate monthly sales by product category and use LAG to calculate month-over-month changes.
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Inc.
Benjamin MooreCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADPUse joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.
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Tests ability to implement correct data aggregation logic over event data.
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