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IBMData Engineer
Updated Nov 4, 2026

IBM Data Engineer Interview Experiences 2026

Real, anonymous reports from people who interviewed for Data Engineer at IBM, newest first and distilled into what to expect across the loop.

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3 days ago
Easy Positive United States

After I applied to the IBM site, I got an invitation to complete an online technical assessment a day later. The questions focused on Python and SQL, and the level felt like easy-to-medium LeetCode-style problems. Shortly after, I was asked to do a recorded interview format—mostly straightforward competency-style questions—then the next stage moved into scheduled interviews.

That following round was a mix of conversational and structured interviews. I joined a couple of Zoom sessions after the assessment, with one covering Python/SQL basics alongside behavioral questions, and the other being purely behavioral. Each video/behavioral response felt timed too: there was a short preparation window and then a brief response period, which made it important to stay crisp. The whole flow felt fairly organized compared to what I’d heard elsewhere.
2 weeks ago
Average Positive San Jose, San Jose

I went through a more “data engineering deep dive” path where the interview content mapped pretty directly to the job. After a recruiter screening, I spoke with the hiring manager, and then I ended up on a final panel. The panel covered SQL and Snowflake topics, and it also touched agentic AI, which surprised me a bit because it felt broader than what I expected for a data engineer role.

The Snowflake side wasn’t just surface-level questions. I remember having to reason about how components work and how to think about performance and real-world data behavior, and the discussion stayed technical in a way that felt grounded in actual platform usage. On the Python/SQL side, I also got prompted on code and data-handling scenarios, and the interviewers followed up to test whether I understood tradeoffs rather than just naming features.

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