Top 50
Prep plan
Updated weekly · Last refresh Aug 30

New Balance Data Engineer Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 16 questions + 2 drills · ~152 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 ByAggregationsNew Balance
Compare Periods with LAG and LEADMedium

Explain how LAG and LEAD compare current rows to previous or next periods in time-series SQL analysis.

Window FunctionsLag/LeadDate FunctionsNew Balance
Running Totals for Sales ReportingMedium

Explain how to calculate cumulative totals in SQL using window functions, ordering, and optional pre-aggregation.

Window FunctionsDate FunctionsRunning TotalsNew Balance
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
Pipelines26 questions · ~215 min
Structured vs Unstructured Pipeline DataEasy

Explain how structured and unstructured data differ, and how that changes pipeline design and downstream modeling.

InfrastructureData ModelingQualityNew Balance
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityNew Balance
Build Reliable Customer Orders PipelineEasy

Design a reliable batch pipeline that ingests orders and payments into Snowflake with strong data quality checks, idempotent backfills, and auditability.

ETLData ModelingQualityNew Balance
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3
Coding5 questions · ~41 min
Python Function for AveragesEasy

Assesses your ability to implement core data transformations in Python.

MathArraysSortingNew Balance
Complex Algorithm ChallengeHard

Evaluates your ability to design and implement complex algorithms and explain tradeoffs.

RecursionDynamic ProgrammingGraphsNew Balance
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4
Behavioral & Leadership3 questions · ~25 min
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The finish line: interview-readyComplete all 50 questions plus 2 hands-on drills to finish this plan.