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Updated weekly · Last refresh Aug 30

Samsara Data Engineer Interview Questions

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

25questions
~4htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~57 min
Second Highest Without AggregatesHard
Practice

Find the second highest salary in each department without using aggregate functions.

SubqueriesRankingSelf-JoinsSamsara
SQL Joins ExplainedEasy

Tests understanding of relational joins and ability to reason about combining tables.

SubqueriesJoinsData WranglingSamsara
Optimizing Slow SQL QueriesMedium

Tests query performance troubleshooting and practical optimization strategies for production data workloads.

SubqueriesJoinsAggregationsSamsara
Rolling 7-Day Incident AverageMedium
Practice
Practice drill

Calculate a calendar-aware 7-day average of Samsara incident counts using CTEs and window functions.

Window FunctionsData AnalysissqlSamsara
Monthly Sales Trends by CategoryMedium
Practice
Practice drill

Aggregate monthly sales by product category and use LAG to calculate month-over-month changes.

InfrastructureToolsData WranglingTotal Wine & MoreInc.Benjamin Moore
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2
Coding3 questions · ~27 min
Python Fibonacci FunctionEasy
Practice

Generate the first n Fibonacci values for a Hulu recommendation batch using an iterative O(n) algorithm.

RecursionMathDynamic ProgrammingSamsara
Efficient Data Retrieval Data StructureMedium

Tests your ability to choose and implement appropriate data structures for performance requirements.

Hash TablesSearchingTreesSamsara
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3
Pipelines10 questions · ~92 min
Batch vs Stream Processing Trade-offsMedium

Compare batch and stream processing across latency, complexity, cost, and data quality in a modern analytics pipeline.

InfrastructureStream ProcessingETLSamsara
Structured vs Unstructured DataEasy

Explain how structured and unstructured data differ, and why that matters for pipeline design and downstream processing.

ETLData ModelingQualitySamsara
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingSamsara
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4
Behavioral & Leadership8 questions · ~73 min
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The finish line: interview-readyComplete all 25 questions plus 2 hands-on drills to finish this plan.