Data Engineer

Own pipelines that turn raw centralized and decentralized exchange feeds into reliable market data, including ingestion, normalization, reconciliation, storage, APIs, feeds, service levels, monitoring, and performance-critical processing.

Responsibilities

• Build and maintain data ingestion from CEX and DEX venues using WebSocket, REST, and on-chain feeds
• Normalize, validate, and reconcile market data, including gap detection, deduplication, and schema drift handling
• Own storage and delivery for time-series and historical datasets, APIs, feeds, and SLAs
• Build monitoring and alerting for data quality
• Maintain fast performance-critical data paths

Requirements

• 2–4 years building production data infrastructure
• Strong Python and Rust skills, particularly Polars
• AWS and command-line experience
• Strong SQL and data-quality expertise
• Advanced degree in mathematics, statistics, physics, computer science, engineering, or a similar field
• Enthusiasm for systematic research and market microstructure
• Prior high-frequency trading experience
• Sharp, curious, low-ego working style