Top 31
Prep plan
Updated weekly · Last refresh Oct 17

Milliman Data Engineer Interview Questions

The questions to prepare for a Milliman Data Engineer interview. Questions from real interview reports rank first. Updated daily.

31questions
~5htotal time
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1
CodingStart here. 5 questions · ~46 min
Reverse Linked List or Detect CyclesMedium
Practice

Detect cycles with Floyd's algorithm, then reverse an acyclic Kraft Heinz product feed linked list in place.

Linked ListstraversalpythonMilliman
Generator vs List ComprehensionMedium

Compare generator expressions and list comprehensions by memory usage, execution model, and when each is preferable.

memory managementloopspythonMilliman
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2
SQL & Data Manipulation7 questions + 2 drills · ~84 min
Longest Consecutive Login Streak per UserHard
Practice

Calculate the longest consecutive login streak for each user using window functions and date manipulations.

Window FunctionsJoinsAggregationsMilliman
Explain Full Outer vs Left JoinMedium

Explain how FULL OUTER JOIN and LEFT JOIN differ when reconciling customer records across systems.

JoinsData WranglingCase WhenMilliman
Normalization vs Denormalization TradeoffsMedium

Explain normalization, why it improves data integrity, and when denormalization is a practical performance tradeoff.

schema designperformanceData ModelingMilliman
Explain and Optimize a JOINMedium
Practice
Practice drill

Explain a LEFT JOIN, preserve unmatched policies, and optimize claim aggregation for PostgreSQL.

Performance Tuningdatabase optimizationJoinsMilliman
Explain a SQL QueryHard
Practice
Practice drill

Explain a SQL query's joins and aggregations, identify logic issues, and produce a corrected PostgreSQL result.

Joinssqldata validationMilliman
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3
Pipelines5 questions · ~46 min
Handle PySpark Data SkewMedium

Approach for detecting and mitigating skew in PySpark pipelines using partitioning, join strategies, and runtime monitoring.

Data Qualitypysparkdata skewnessMilliman
ETL and Python/SQL BackgroundMedium

Tests practical ETL experience using Python and SQL in data engineering workflows.

ETLsqlpythonMilliman
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4
Behavioral & Leadership13 questions · ~120 min
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5
More topics1 question · ~9 min
Production Pipeline Logging and TraceabilityMedium

Tests reliability practices for production data pipelines, including error handling and observability.

data pipelineproduction issuesMilliman
The finish line: interview-readyComplete all 31 questions plus 2 hands-on drills to finish this plan.