1–2 problems: SQL transformations, data structures, or simple ETL
Out loud, in order: clarify, build it, check it, explain it.
Practise SQLLoadingone moment…
Data engineering interview · Finance, Payments & Fintech
Readable Python/Scala + SQL coding, a 48-hour take-home (build or debug a pipeline), and reliability-focused system design.
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And what its data engineers work with.
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Stages in the order candidates meet them.
5 stages. 3 rounds have reported questions, described below.
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The topics it covers and the questions candidates reported.
2 reported questions. See them below
2 reported questions. See them below
48 hours
Medium confidence3 reported questions. See them below
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By round. Questions marked Expected are written from the company's standards.
Coding screenMedium confidence
SQLMedium confidence
Take-homeMedium confidence
Nobody reported these exact questions at Stripe. They are the questions a loop for each of its top topics is known to ask, so prepare for them as likely, not as confirmed.
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Ranked by how much of the evidence points at each topic.
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Do the first group before the second.
Clean readable Python/Scala + SQL ETL (talk through reasoning)
Do first (3)Take-home rigor (build/debug pipeline, nested JSON, tests, docs)
System design (real-time analytics, streaming, fault tolerance/consistency)
Orchestration (Airflow/Prefect); warehouses (Snowflake/BigQuery)
ThenBehavioral
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Why candidates were turned down, as reported.
Poor take-home quality (no tests/docs/structure)
Clever-but-unreadable code (Stripe values readability)
Behavioral is named in 7 of 50 company accounts.Shaky design (fault tolerance/consistency)
Design is named in 27 of 50 company accounts.Weak communication while coding
Python is named in 13 of 50 company accounts.08
3 reported, 2 composite. Each opens and closes. Composites are labelled.
A coding screen, then an onsite. The interview is a shared review: Stripe values code that is easy to read and clear talk while you work.
What to take from it Say your thinking out loud and keep code readable.
One candidate described a round about data mismatches, which means checking two sources against each other and explaining the differences.
What to take from it Practise comparing two datasets and listing every kind of difference.
A practical screen asked the candidate to parse a messy CSV. Another candidate said the live round was about reading API documentation quickly, not memorised tricks. That second report was for a data analyst role.
What to take from it Practise reading unfamiliar documentation fast.
Composite walkthroughs. Built from the company's documented loop, not from one person's account.
This is a composite, not one person's account. It is built from the loop we have on record for Stripe. Questions reported for this round: 1–2 problems: SQL transformations, data structures, or simple ETL; Python or Scala; talk through reasoning.
What to take from it Practise these questions before you reach this round.
This is a composite, not one person's account. It is built from the loop we have on record for Stripe. Questions reported for this round: Window functions, CTEs; Payments analytics, dedup, late events.
What to take from it Practise these questions before you reach this round.
Readability + take-home rigor are decisive; treat the take-home as production code.
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Their reported questions, one at a time, against a stopwatch.
1–2 problems: SQL transformations, data structures, or simple ETL
Out loud, in order: clarify, build it, check it, explain it.
Practise SQL10
Pick your level and the weeks you have.
Built from what Stripe asks, strongest first. For the wider basics at your level, follow the Mid level plan alongside it.
Python and coding
Read: Python chaptersDrill: Python practiceSay it aloud: Python questionsFull plan: Ace the Python round
Pipeline and system design
Read: Data pipeline chaptersDrill: Pipeline practiceSay it aloud: Data pipeline questionsFull plan: Ace the pipeline round
Behavioral and communication
Read: Behavioral storytellingSay it aloud: Behavioral questions
Cloud and tools
Rehearse the Stripe loop
Run the question deckThen repeat your weakest topic once more.