Stripe data engineering interview questions lean Python-heavy with a payments-platform edge: six Python primitives (sort + greedy for tiered shipping or fee schedules, hash-table aggregation for per-merchant transaction-fee rollups, set-based deduplication for idempotent event apply, collections.deque for bounded producer-consumer queues with back-pressure, event-time watermarks for late-record drop, and an end-to-end CSV ETL with validation and a logging summary) plus a single SQL primitive that tests JSONB introspection (top-level key extraction from event_payload with explicit type casting). The framings are payments-platform analytics—shipping fees, transaction fees, idempotency tokens, bounded ingestion buffers, event-time vs processing-time, ETL run logs, and JSONB event payloads.…