Data engineering interviews in 2026 are more systems and SQL than LeetCode. You should expect warehouse sizing, clustering vs partitioning, incremental models, late data, and cost — then a SQL round that fails people on window frames and QUALIFY. These sheets are organized around those question types, not trivia.
Use them as closed-book drills: read the stem, write the answer, then open the sheet. Pair with the 14-day interview prep plan and the certification practice tests if the loop also includes a SnowPro or Databricks exam. Cheat sheets are not dumps of live exam items.
Pick one sheet per day. Close it, write the answer to two questions from memory, then reopen only to check. If you cannot explain why the wrong option is wrong, you do not understand the topic yet. For Snowflake, the traps that show up most: Fail-safe vs Time Travel, result cache invalidation, ACCOUNTADMIN vs SYSADMIN, and clustering on small tables.
Company flavor: FAANG loops stack SQL + system design; fintech stresses idempotency and exactly-once claims; SaaS shops drill dbt/Snowflake/Airflow ownership. Work the 14-day plan if you have a date on the calendar. After the sheets, take one practice test as a diagnostic — not as an answer key. Related: SQL, architecture, library.
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