
Atlassian Data Engineer candidates report SQL and Python coding screens, with senior loops adding system design and culture conversations. Here is what each report describes and how to prepare.
$152K
Avg. Base Comp
$187K
Avg. Total Comp
Not reported
Typical Rounds
Not reported
Process Length
Candidates describe the Atlassian Data Engineer interview as a coding-first process. One candidate who received an offer faced a coding round with three chained SQL questions built on CTEs, followed by a Python problem. The SQL questions covered ranking with a join, a rolling average over three days, and a rolling sum followed by a count. The Python task was finding a target number's position in a list, and the interviewer then asked for an alternative approach. That makes window functions, rolling calculations and explaining trade-offs worth practicing.
Another candidate, who did not get an offer, described a single 60-minute technical screen. Roughly 30 to 45 minutes went to coding, with a medium anagram-grouping string problem in Python and SQL questions ranging from easy to medium. Settling on an approach before typing is the lesson that candidate took away.
Senior reports differ. One senior candidate described five rounds, three programming and two culture fit, with the first technical interview acting as a filter. They mentioned system design, coding problems that did not resemble typical LeetCode, and a question about presenting a SQL result to a business stakeholder. Another senior candidate described an HR screen, live SQL and data-structures coding, system design, a product-sense question about measuring Slack success, and a final panel. That candidate found the role scope unclear, so asking early about team and responsibilities is sensible.
One India-based candidate reported hiring committee review followed by waiting on hiring manager sign-off and team match because no headcount was open. Ask your recruiter what comes after committee review.
Synthesized from 5 candidate reports by our editorial team.
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| Closest SAT Scores | |
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| Subscription Overlap | |
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Synthesized from candidate reports. Individual experiences may vary.
One senior candidate reports starting with an HR screen before technical rounds. Use it to confirm role scope, team, and whether the work spans distributed teams, since that candidate says the actual role differed from the description.
Candidates report SQL and Python coding early on. One describes chained CTE questions with rolling averages and sums plus a list-search problem with a request for an alternative approach. Another describes a 60-minute screen with an anagram problem and easy-to-medium SQL. Practice under time pressure.
Senior candidates report further rounds that may include algorithms in Python, system design, and product-sense questions. One mentions explaining a SQL result to a business stakeholder, and another a Library Management System design and a Slack success-metric question. Expect variation by team and level.
One senior candidate describes two culture fit conversations in a five-round loop, and another describes a final cultural and managerial panel. Prepare behavioral examples, and ask who will be on the panel and how it relates to the data engineering team.
One India-based candidate reports that the recruiter described a hiring committee review, then hiring manager sign-off, a team match call and an offer. That candidate was waiting because no headcount was open at the level. Separately, the candidate who received an offer reports feedback within a few days of the coding round.