Data Engineer
Core
Design, build, and maintain real-time and historical market data pipelines for quantitative crypto investment strategies and alpha research.
Role type
Senior Data Engineer (Quantitative Finance)
Builds
Real-time data pipelines, historical data storage, and data-serving layers for crypto market data.
Domain
Cryptocurrency markets / Quantitative finance
Deliverable
production ML models | infrastructure
Required skills
Real-time data pipeline design, low-latency data ingestion, time-series database management, distributed query engines, streaming frameworks, data quality monitoring, cloud-native data platforms
Preferred skills
Columnar storage formats, data API development, observability implementation
Technologies
Cryptocurrency exchange feeds, tick data, order book snapshots, trade data, streaming frameworks, columnar storage formats, distributed query engines, cloud-native data platforms
Responsibilities
Design and maintain robust real-time market data pipelines from multiple exchanges; Manage and optimize historical data storage infrastructure; Collaborate with researchers to deliver clean datasets; Build efficient data-serving layers; Monitor pipeline health and respond to data quality issues; Evaluate and introduce modern data engineering technologies; Document data pipelines and processes.