Top 24
Prep plan
Updated weekly · Last refresh Oct 17

Scalable Capital Data Engineer Interview Questions

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

24questions
~4htotal time
Track your progressSign up free to work through all 24 questions and resume where you left off.
Start practicing free →
1
SQL & Data ManipulationStart here. 4 questions · ~38 min
Running Portfolio Balance SQLMedium
Practice

Calculate each Scalable Capital user's chronological portfolio balance from completed transactions using a cumulative window calculation.

Window Functionsdatabase optimizationfinancial dataScalable Capital
SQL Analysis on JSON DataMedium
Practice

Extract document data from JSONB, aggregate completed documents by source, and identify data needed for deeper analysis.

data managementsqlAggregationsScalable Capital
Athena vs Data WarehouseMedium
Practice

Analyze query workload by date and portfolio partition to support cost-effective Athena partitioning at Scalable Capital.

analytics toolsPerformance Tuningdatabase optimizationScalable Capital
More SQL & Data Manipulation questions with a free account
2
Pipelines7 questions · ~67 min
Secure AWS Pipeline Access DesignMedium

Approach for applying least privilege and security controls to an AWS-based data pipeline infrastructure.

InfrastructureSecurityQualityScalable Capital
Data Quality and Schema EvolutionMedium

Approach for handling schema changes and data quality checks in a high-volume data lake pipeline.

schema evolutionData ModelingQualityScalable Capital
Terraform for Data PipelinesHard

Explain Terraform, configure providers and state, then safely plan, review, apply, and update infrastructure changes.

Infrastructureinfrastructure as codeconfiguration driftScalable Capital
More Pipelines questions with a free account

Sign up to see every question

Create a free account to unlock this list and practice real interview questions.

Get my prep plan
3
Behavioral & Leadership11 questions · ~105 min
More Behavioral & Leadership questions with a free account
4
More topics2 questions · ~19 min
Custom PySpark Transformer for Data QualityHard

Tests advanced PySpark design for robust data quality handling in financial datasets.

Data WranglingpythonsparkScalable Capital
Parse and Aggregate Nested JSONMedium

Tests practical data engineering skills for transforming nested API data into lake-ready datasets.

json parsingData WranglingpythonScalable Capital
The finish line: interview-readyComplete all 24 questions to finish this plan.