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DataSeers Interview Questions

The questions to prepare for DataSeers interviews, across all roles. Questions from real interview reports rank first. Updated weekly.

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~55 min
Second Highest Without AggregatesHard
Practice

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

SubqueriesRankingSelf-JoinsDataSeers
SQL vs NoSQL for Go-to-Market DataEasy

Explain how SQL and NoSQL differ in schema, consistency, scaling, and Demandbase-style analytics use cases.

JoinsData WranglingDataSeers
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
Coding6 questions · ~52 min
First Non-Repeating CharacterEasy
Practice

Find the first non-repeating character in a string using frequency counting and a second pass in O(n) time.

Hash TablesStringsSearchingDataSeers
Script for Routine OperationsMedium

Tests practical scripting ability and automation for day-to-day DevOps operations.

Hash TablesArraysStringsDataSeers
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3
Pipelines24 questions · ~208 min
Debugging Production Data PipelinesMedium

A structured approach to debugging production data pipelines, with focus on orchestration, data quality, idempotency, and safe backfills.

InfrastructureToolsQualityDataSeers
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityDataSeers
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4
Execution11 questions · ~95 min
Handle Conflict Within Your TeamEasy

Explain how you handle team conflict while keeping delivery on track and maintaining trust across stakeholders.

Trade-offsRisk AssessmentScope ManagementDataSeers
Prioritize Across Competing Data ProjectsEasy

Explain how you prioritize across multiple concurrent data engineering projects with competing stakeholder needs and limited capacity.

Trade-offsRoadmappingScope ManagementDataSeers
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5
Behavioral & Leadership5 questions · ~43 min
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.