Spark Engineer acts as a senior Apache Spark expert to help agents design, implement, and optimize high-performance distributed data processing pipelines. It guides users through analyzing requirements, designing appropriate DataFrame or RDD pipelines, optimizing performance, and validating shuffle partitions or memory usage. Reach for it when you need to write robust PySpark code, tune shuffle operations, configure executor memory, handle data skew, or build structured streaming analytics.