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Updated weekly · Last refresh Aug 30

Natera Data Engineer Interview Questions

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

27questions
~4htotal time
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1
CodingStart here. 5 questions · ~46 min
Merge Two Sorted Linked ListsEasy
Practice

Merge two sorted singly linked lists into one sorted list by relinking existing nodes.

RecursionLinked ListsSortingNatera
Data Manipulation Problem SolvingMedium

Tests your problem-solving skills and ability to reason through data manipulation tasks.

Hash TablesArraysSortingNatera
Python Data TransformationEasy

Tests your ability to write clean, correct transformation code for ETL-style workflows.

Hash TablesArraysStringsNatera
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2
Pipelines12 questions · ~111 min
ETL vs ELT Trade-offsEasy

Compare ETL and ELT, and explain when ELT is the better pipeline pattern.

ETLELTData ModelingNatera
Data Quality in ETL PipelinesEasy

Approach for maintaining data quality and integrity across ETL pipelines.

IdempotencyData ModelingQualityNatera
Cloud Platform Experience for PipelinesMedium

Describe practical experience building pipelines on AWS, including orchestration, security, and data quality.

InfrastructureETLData ModelingNatera
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3
Behavioral & Leadership8 questions · ~74 min
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4
More topics2 questions · ~18 min
SQL Churn and Window FunctionsHard
Practice

Calculate monthly Natera user churn percentages using date logic, conditional aggregation, and a CTE.

sqlNatera
SQL Grouping, HAVING, and DedupingMedium

Assesses ability to write correct SQL with grouping, window functions, and deduplication logic.

Window FunctionssqlNatera

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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
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
The finish line: interview-readyComplete all 27 questions plus 2 hands-on drills to finish this plan.