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Top 27
Prep plan
Updated weekly · Last refresh Aug 30

Dataminr Data Engineer Interview Questions

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

27questions
~4htotal time
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1
CodingStart here. 5 questions · ~44 min
Merge Two Sorted ArraysEasy
Practice

Merge two sorted arrays into one sorted array using a two-pointer linear scan.

ArraysSortingTwo PointersDataminr
Accessing Historical Data EfficientlyHard

Tests your ability to design for time-based access patterns and efficient retrieval.

Hash TablesTreesHeapDataminr
Time Complexity AnalysisEasy

Tests your ability to reason about algorithmic complexity and scalability.

ArraysSearchingSortingDataminr
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2
Pipelines13 questions · ~115 min
Explain ETL in Data EngineeringEasy

Explain the ETL process, why it matters, and how it fits into a practical data pipeline.

ETLOrchestrationQualityDataminr
Design Scalable Pipeline InfrastructureHard

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityDataminr
Batch vs Streaming Data ProcessingEasy

Compare batch and streaming data processing, including when each fits best in a pipeline.

Stream ProcessingETLBatch ProcessingDataminr
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3
Behavioral & Leadership7 questions · ~62 min
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4
More topics2 questions · ~18 min
Optimize SQL Query PerformanceHard

Tests ability to diagnose bottlenecks and apply indexing, query rewriting, and execution-plan driven tuning.

database managementDataminr
Analyzing and Visualizing TrendsMedium

Tests your approach to exploratory analysis, metric selection, and communicating insights effectively.

Window FunctionsData WranglingAggregationsDataminr
Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 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
Handle Missing Financial Input ValuesMedium
Practice
Practice drill

Use joins, CTEs, and CASE logic to flag and fill missing financial fields for Qlik planning records.

Data WranglingETLQualityQlik
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.