Data Engineer

A fast-paced, technology-driven trading firm based in Chicago is seeking a Data Engineer to design, build, and maintain robust data pipelines and infrastructure that powers the trading platforms.

Key Responsibilities

• Design and develop scalable data pipelines for real-time and batch processing
• Build and maintain data infrastructure to support trading, analytics, and research
• Ensure data quality, integrity, and availability across systems
• Optimize data workflows for performance and low latency
• Collaborate with traders, quants, and software engineers to deliver data solutions
• Integrate and manage large datasets from multiple market data providers
• Monitor and troubleshoot data systems in a high-availability environment

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 3+ years of experience in data engineering or a similar role
• Strong proficiency in Python
• Experience with data pipeline tools
• Solid understanding of SQL and database systems
• Experience working with large-scale, high-frequency datasets preferred
• Strong problem-solving skills and attention to detail

Nice to Have

• Experience in financial services or trading environments
• Knowledge of market data feeds and financial instruments
• Experience with time-series databases
• Understanding of low-latency systems and distributed architectures