Dataford
Top 26
Prep plan
Updated weekly · Last refresh Aug 30

Engine Data Engineer Interview Questions

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

26questions
~4htotal time
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1
SQL & Data ManipulationStart here. 8 questions + 2 drills · ~90 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 Database ExperienceEasy

Tests your depth with relational modeling, querying, and performance considerations.

JoinsData WranglingAggregationsEngine
Assessing SQL ProficiencyEasy

Tests your ability to evaluate SQL skills with tasks that reflect real engineering needs.

Window FunctionsJoinsAggregationsEngine
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 BankNavi
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 · ~122 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 ProcessingETLEngine
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
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3
Coding4 questions · ~35 min
Assessing Python for Data WorkEasy

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

Hash TablesArraysStringsEngine
Python Live Coding AssessmentEasy

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

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