Apple data engineer interview guide
Apple data engineering interviews vary by team but commonly cover SQL, Python and warehouse design, with attention to correctness and handling sensitive data.
Interview rounds
SQL round
Joins, aggregations, deduplication and ranking on device and app data.
Practice SQL problems →Python / coding round
Practical coding problems on collections and strings.
Practice Python problems →Data modeling round
Warehouse design for product analytics, including privacy considerations.
Practice data modeling →Pipeline / system design round
Batch pipeline design with orchestration, retries and testing.
Practice system design →Sample Apple interview questions
- Find and delete duplicate rows in a table.
- Compare ROW_NUMBER, RANK and DENSE_RANK.
- Design an orchestrated daily batch pipeline.
Tips to pass
- Clarify requirements before designing.
- Mention how you protect personal data.
- Be precise about edge cases.
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