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.
Synthetized from 1 candidates reports by our editorial team.
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| Question | |
|---|---|
| Employee Salaries | |
| Random SQL Sample | |
| Bagging vs Boosting | |
| Size of Joins | |
| P-value to a Layman | |
| Hurdles In Data Projects | |
| Cyclic Detection | |
| Three Zebras | |
| Target Indices | |
| Duplicate Rows | |
| Type I and II Errors | |
| Swap Variables | |
| Modifying a Billion Rows | |
| Same Characters | |
| Integer String Addition | |
| Triangle as Binary Array | |
| Drink Production Allocation | |
| International e-Commerce Warehouse | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Stakeholder Communication | |
| Client Solution Pushback | |
| Justify a Neural Network | |
| Processing Large CSV | |
| Kindergarten Feasibility | |
| Google Earth Storage | |
| Branch Sales Pivot | |
| Empty Neighborhoods | |
| Top Three Salaries |
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.