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Hearst Data Engineer Interview Questions

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

10questions
~1htotal time
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1
PipelinesStart here. 3 questions · ~25 min
Optimize Slow Spark ETL PipelineHard

Redesign a slow Databricks Spark ETL pipeline to cut runtime from 3 hours to under 60 minutes without breaking data quality or SLAs.

Hearst
SQL, Spark, and Python PipelinesMedium

Assesses practical experience designing and implementing data pipelines with SQL, Spark, and Python.

sqlpythonsparkHearst
Distributed Computing BenefitsMedium

Evaluates tradeoffs and benefits of distributed processing for large-scale data workloads.

distributed computingdata processingHearst
2
Behavioral & Leadership4 questions · ~33 min
Handling Architectural Disagreement Cross-FunctionallyMedium

Tests conflict resolution and influence without authority when a cross-functional stakeholder challenges an architectural decision.

Influence Without AuthorityConflict ResolutionCommunicationHearst
Constructive Feedback in Code ReviewsEasy

Tests how you give and receive code review feedback with professionalism, clarity, and a focus on code quality and team growth.

CommunicationfeedbackcollaborationHearst
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3
More topics3 questions · ~25 min
Cleaning Nulls and Duplicate RecordsEasy

Explain how to clean nulls, remove duplicates, and standardize inconsistent values during SQL transformations.

Data WranglingCase WhenAggregationsHearst
Python List vs TupleEasy

Tests your knowledge of Python data structures, mutability, and typical usage trade-offs.

Data StructurespythonHearst
Left Join vs Inner JoinEasy

Tests understanding of SQL join semantics and ability to reason about query results.

JoinsData ManipulationsqlHearst

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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Handling Missing DataMedium
Practice
Practice drill

Standardize missing observation fields with fallback values, missingness flags, and ordered output.

Window Functionsmissing valuesdata cleaningEversource EnergyCincinnati Children's HospitalAdtalem Global Education
SQL and Python Data WorkMedium
Practice
Practice drill

Use a CTE, join, and conditional aggregation to summarize valid monthly user activity.

JoinsData ManipulationsqlAdobe
SQL, Power BI, and Python BasicsMedium
Practice
Practice drill

Calculate completed order totals per customer using a join, aggregation, NULL handling, and spending classification.

JoinsCase WhensqlAccenture
The finish line: interview-readyComplete all 10 questions plus 3 hands-on drills to finish this plan.