The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Data Engineer
•
System Design
•
hard
Design a real-time ETL pipeline to ingest, validate, and store transaction data from multiple blockchain nodes (Bitcoin, Ethereum, Solana).
#Streaming
#Kafka
#Data Lake
#Architecture
Data Engineer
•
System Design
•
hard
Design a data warehouse architecture for Coinbase's compliance team to run daily Anti-Money Laundering (AML) reports on petabytes of data.
#Data Warehousing
#Batch Processing
#Security
#Snowflake
Data Engineer
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System Design
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hard
How would you design a system to calculate and serve real-time crypto portfolio balances to millions of concurrent users?
#Caching
#Event Sourcing
#High Availability
#Redis
Data Engineer
•
System Design
•
medium
Design an Airflow DAG architecture to handle dependencies between fiat deposits, crypto trades, and daily financial reconciliation.
#Airflow
#Orchestration
#DAG Design
#Idempotency
Data Engineer
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System Design
•
hard
Explain how you would migrate a massive legacy Redshift database to Snowflake with zero downtime for downstream analytics consumers.
#Cloud Migration
#Dual Writes
#Data Validation
Data Engineer
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System Design
•
hard
Design a streaming pipeline using Kafka and Flink to detect fraudulent login attempts based on IP geolocation and velocity.
#Stream Processing
#Flink
#Fraud Detection
#Stateful Processing
Data Engineer
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System Design
•
medium
How do you handle schema evolution in a data lake storing raw JSON payloads from various rapidly updating blockchain networks?
#Schema Registry
#Data Lake
#Parquet/Avro
Data Engineer
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System Design
•
medium
Design a system to ingest exchange rate data from 10 different external crypto exchanges and calculate a consolidated, volume-weighted global price.
#API Integration
#Data Aggregation
#Fault Tolerance
Data Engineer
•
System Design
•
hard
Design a real-time data pipeline to ingest and process blockchain node data (e.g., Ethereum blocks) into a data warehouse for analytics.
#Streaming
#Kafka
#Data Lake
#Architecture
Data Engineer
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System Design
•
hard
Design a system to detect anomalous trading patterns (potential wash trading) in near real-time.
#Real-time
#Flink
#Fraud Detection
#Event Processing
Data Engineer
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System Design
•
medium
How would you design a scalable ETL pipeline to aggregate daily trading fees across millions of users and multiple assets?
#Batch Processing
#Airflow
#Spark
#ETL
Data Engineer
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System Design
•
hard
Design a data lakehouse architecture for Coinbase's compliance team to run ad-hoc queries on petabytes of historical transaction data.
#Iceberg/Hudi
#Snowflake
#Storage
#Data Governance
Data Engineer
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System Design
•
medium
Explain how you would handle late-arriving data in a daily batch pipeline calculating user portfolio balances.
#Data Engineering
#Airflow
#Idempotency
#Backfilling
Data Engineer
•
System Design
•
hard
Design a system to ingest, process, and serve real-time exchange rates for 10,000+ crypto pairs to internal microservices.
#Pub/Sub
#Caching
#Redis
#Microservices
Data Engineer
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System Design
•
medium
How would you migrate a legacy daily batch pipeline to a streaming architecture using Kafka and Flink?
#Kafka
#Flink
#Migration
#Architecture
Data Engineer
•
System Design
•
medium
Design a data pipeline to sync user account balances from a highly transactional PostgreSQL database to Snowflake.
#CDC
#Debezium
#Snowflake
#Data Replication
Data Engineer
•
System Design
•
medium
How do you ensure data quality and anomaly detection in a pipeline that ingests third-party market data?
#Data Quality
#Anomaly Detection
#Observability
Data Engineer
•
System Design
•
hard
Design a metrics aggregation system for Coinbase Wallet telemetry data (e.g., button clicks, screen views) handling millions of events per second.
#High Throughput
#OLAP
#Druid/ClickHouse
#Telemetry
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.