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Updated weekly · Last refresh Aug 30

BNSF Railway Data Engineer Interview Questions

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

31questions
~5htotal time
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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~56 min
Top Customers by Sales RevenueEasy
Practice

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsBNSF Railway
Structured vs Unstructured Data BasicsEasy

Explain how structured and unstructured data differ in format, storage, and how easily they can be queried with SQL.

Data WranglingETLBNSF Railway
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityBNSF Railway
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
Contact Center Agent Performance MetricsHard
Practice
Practice drill

Compute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.

ETLAggregationsData ModelingADP
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2
Coding5 questions · ~45 min
Merging Dictionaries in PythonEasy
Practice

Merge two Macy's catalog dictionaries into a new dictionary, with values from the second dictionary overriding duplicate keys.

Hash TablesArraysStringsBNSF Railway
PySpark CSV Aggregation to DictMedium

Tests your ability to build a small PySpark workflow for ingestion and aggregation.

pysparkkubernetesBNSF Railway
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3
Pipelines14 questions · ~125 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 ProcessingETLBNSF Railway
Secure DevOps Data PipelinesMedium

Approach for embedding security controls into data pipeline delivery, orchestration, and operations.

InfrastructureOrchestrationQualityBNSF Railway
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityBNSF Railway
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4
Behavioral & Leadership8 questions · ~71 min
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The finish line: interview-readyComplete all 31 questions plus 2 hands-on drills to finish this plan.