Salesforce data engineering interview questions lean SQL-heavy with a serious analytics edge: five SQL primitives (subquery + aggregation for Nth-largest values, cohort aggregation for retention, self-join with date arithmetic for consecutive-day activity, window functions with LAG for month-over-month growth, and aggregation with string manipulation for volume reports) plus two Python primitives that test data-engineering fundamentals (hash-table design for atomic transaction state, and closures with higher-order functions for pipeline composition). The framings are enterprise SaaS analytics—salaries, retention, activity cohorts, coupon revenue, warehouse throughput, transaction state, and ETL function composition. This guide walks through the seven topic clusters Salesforce actually tests, each with a detailed topic explanation , per-sub-topic explanation with a worked example and its solution , and an interview-style problem with a full solution that explains why it works.…