Milliman Software Engineer interview typically runs 4 rounds: Python basics, puzzle-solving, SQL, and object-oriented programming. It usually takes about 4 rounds and is a fundamentals-focused process.
$106K
Avg. Base Comp
$127K
Avg. Total Comp
4
Typical Rounds
2-4 weeks
Process Length
We've seen Milliman evaluate software engineer candidates as much on clarity as on correctness. In the experience shared here, the interviewer kept returning to core fundamentals explained cleanly: Python basics, SQL logic, and object-oriented concepts all came up in a way that rewarded candidates who could reason step by step rather than recite definitions. That pattern matters because it suggests Milliman is looking for engineers who can work through practical problems in a consulting-heavy environment where the explanation is part of the deliverable.
A recurring theme is that the process favors candidates who can connect concepts to simple, real-world examples. The OOP discussion wasn’t just about naming encapsulation or inheritance; it asked for definitions, examples, and basic implementation ideas. Likewise, the SQL portion emphasized joins, aggregation, and filtering, with an expectation that candidates could justify each clause out loud. We also noticed the puzzle segment was less about code and more about analytical thinking, which tells us they value structured reasoning under ambiguity. For Milliman, the non-obvious separator is not advanced algorithmic depth — it’s whether you can stay precise, communicate your logic, and show that your fundamentals hold up when the questions get broad.
Synthesized from 1 candidate report by our editorial team.
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Real interview reports from people who went through the Milliman process.
The interview process was pretty straightforward, but it covered a lot of ground and stayed focused on fundamentals the whole way through. In the first round, I was asked Python basics, mostly around data types, functions, and syntax, plus a few small coding tasks to see whether I could apply the concepts cleanly rather than just talk about them. That set the tone for the rest of the process, because the interviewer seemed more interested in how I reasoned than in whether I could rattle off memorized answers.
After that came a puzzle-solving segment that was less about coding and more about logic and analytical thinking. I had to work through problems out loud, so explaining my approach clearly mattered just as much as getting to the right answer. The next round was SQL, where the questions centered on aggregation, joins, and filtering. I was expected to write correct queries and explain the logic behind them, so it helped to be comfortable talking through each step. The final discussion was on object-oriented programming, including encapsulation, inheritance, polymorphism, and abstraction, with a mix of definitions, real-life examples, and basic implementation ideas. Overall, it felt like a fundamentals check rather than a heavy algorithm interview. I didn’t get an offer, but the process made it clear that strong core knowledge and clear communication were the main things they were evaluating.
Prep tip from this candidate
Brush up on Python basics, especially data types, functions, and syntax, and be ready to explain your reasoning on small coding tasks out loud. For SQL, focus on aggregation, joins, and filtering, since those were the main query patterns called out here.
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Topics based on recent interview experiences.
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Synthesized from candidate reports. Individual experiences may vary.
The first round focused on Python basics, including data types, functions, and syntax. Candidates were also given small coding tasks to show they could apply core concepts cleanly and explain their reasoning as they worked.
The next stage was a puzzle-solving segment centered on logic and analytical thinking rather than coding. Candidates were expected to work through problems out loud, with clear communication and approach mattering as much as the final answer.
This round covered SQL fundamentals such as aggregation, joins, and filtering. Candidates had to write correct queries and explain the logic behind each step.
The final discussion focused on OOP concepts including encapsulation, inheritance, polymorphism, and abstraction. Questions mixed definitions, real-life examples, and basic implementation ideas to assess core understanding.