Chewy Data Engineer candidates report SQL window functions, Python fundamentals, warehouse data modeling, and behavioral follow-ups, with one account describing a five-interview sequence.
$149K
Avg. Base Comp
$195K
Avg. Total Comp
5 rounds
Typical Rounds
Not reported
Process Length
Chewy Data Engineer interview reports point to a practical mix of SQL, Python, data modeling, and conversation about prior work. One Data Engineer II candidate described a coding round followed by four virtual onsite rounds. Their coding work included Python that was described as tricky because it was not LeetCode-style; the onsite sequence included SQL window functions, warehouse data modeling, and a hiring-manager discussion that pressed on STAR examples.
A separate candidate described a one-hour technical interview rather than a full process. After introductions and a résumé/project discussion, they received a basic Python character-counting prompt and were asked to explain their library choice and complexity. The remaining technical discussion covered SQL joins and window functions, using verbally described sample tables. That account suggests preparing to state your reasoning clearly even when a simple implementation has more than one valid form.
For the modeling portion, practice explaining how you would structure a warehouse for Chewy-style operational data: identify the business grain, distinguish facts from dimensions, and explain the trade-offs in your schema. For behavioral discussion, use concrete STAR examples and be ready for follow-up questions that test the decisions, ownership, and results behind the story. The available reports are limited, so exact sequencing beyond the detailed five-interview account is not established.
Synthesized from 2 candidate reports by our editorial team.
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Synthesized from candidate reports. Individual experiences may vary.
One Data Engineer II candidate reported a Python coding round before the virtual onsite interviews. They described it as somewhat tricky and unlike a LeetCode-style exercise. Another candidate encountered a basic character-counting problem and was expected to explain the selected Python library and time complexity.
Candidates report SQL questions involving window functions; one account also described basic joins followed by several follow-ups. The interviewer may provide small static tables verbally, so practice translating a spoken schema and values into a clear query approach before writing the answer.
One candidate was asked to model a Chewy warehouse. Prepare to walk through a warehouse or data-mart design aloud, including the intended grain and the fact and dimension tables that support the stated business use case.
In the detailed Data Engineer II account, the hiring-manager interview pushed on STAR examples. Candidates should expect follow-up questions on the examples they choose and should be ready to explain their individual contribution, decisions, and outcomes with specificity.
One Data Engineer II candidate reported four virtual onsite rounds after completing the coding round. That report supports a five-interview sequence for that candidate; the other account describes one technical interview and does not establish a universal round count.
