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Prep plan
Updated weekly · Last refresh Oct 17

Engine Data Engineer Interview Questions

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

26questions
~4htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 2 drills · ~85 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 ByAggregationsEngine
Relational Model and Analytic SQLMedium

Evaluates relational modeling skills and proficiency with analytic SQL functions.

sqldatabase designpythonEngine
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankBanco Santander
Monthly Active User Growth by PlatformMedium
Practice
Practice drill

Use joins, CTEs, and monthly aggregation to compute Google Maps active users and month-over-month growth.

Window FunctionsDate FunctionsAggregationsEngineGoogleZoomInfo Technologies
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2
Pipelines14 questions · ~131 min
Handling Pipeline Errors at ScaleHard

Approach for stabilizing an automated workflow that is failing broadly, with focus on orchestration, data quality, idempotency, and rollback.

IdempotencyBackfillingQualityEngine
Structured vs Unstructured DataEasy

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

ETLData ModelingQualityEngine
Design High-Throughput Event PipelineHard

Design a real-time event pipeline that can handle millions of events per second with sub-second latency.

data pipelineevent processinglatencyEngine
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3
Coding5 questions · ~47 min
Python Function with DictionariesEasy
Practice

Count how often each input value appears by storing string keys and frequencies in a dictionary.

ArraysData StructurespythonEngine
Python Live Coding AssessmentEasy

Tests your ability to craft live coding tasks that reflect real data engineering work.

Hash TablesArraysStringsEngine
Assessing Python for Data WorkEasy

Tests your ability to evaluate Python proficiency relevant to data engineering tasks.

Hash TablesArraysStringsEngine
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The finish line: interview-readyComplete all 26 questions plus 2 hands-on drills to finish this plan.