Top 39
Prep plan
Updated weekly · Last refresh Oct 17

Meta Platforms Data Engineer Interview Questions

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

39questions
~7htotal time
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1
CodingStart here. 8 questions · ~87 min
Case-Sensitive Word Mismatch FunctionMedium
Practice

Compare two case-sensitive strings and return unmatched word occurrences using frequency maps while preserving source order.

string manipulationpythonMeta Platforms
Max Points With Category ConstraintsEasy
Practice

Use a hash map and top-three greedy selection to maximize points from books in distinct categories.

pythonMeta Platforms
Maximum Average SubarrayMedium
Practice

Find the maximum average of any subarray of length at least k using binary search and transformed prefix sums.

Dynamic ProgrammingMeta Platforms
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2
SQL & Data Manipulation8 questions + 1 drill · ~97 min
Top 10 Customers SQLEasy
Practice

Use SUM, GROUP BY, ORDER BY, and LIMIT to find the top 10 Healthfirst Marketplace customers by purchase total.

RankingGroup ByAggregationsMeta Platforms
OLTP vs OLAP Database DesignMedium

Explain OLTP vs OLAP designs, including schema shape, workload patterns, and when each is appropriate in a data platform.

financial dataperformanceData ModelingMeta Platforms
Window Ranking in Ticket QueuesMedium

Explain SQL window functions and when to use ROW_NUMBER() versus DENSE_RANK() for ranked ticket analysis.

Window FunctionsRankingrow_numberMeta Platforms
Write a SQL QueryMedium
Practice
Practice drill

Summarize annual user engagement with a left join, aggregation, and NULL-safe duration handling.

null handlingJoinssql queryNBCUniversalCCourseraMeta Platforms
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3
Pipelines6 questions · ~65 min
Optimize Multi-Terabyte ETL PipelineMedium

Explain how you improved a slow ETL pipeline on multi-terabyte data, including bottleneck analysis, tuning choices, and validation.

ETL optimizationdata processingperformanceMeta Platforms
Architecture for a New SystemHard

Evaluates your system design thinking for building scalable data infrastructure.

system architectureMeta Platforms
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4
Behavioral & Leadership17 questions · ~185 min
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The finish line: interview-readyComplete all 39 questions plus 1 hands-on drill to finish this plan.