Lead Data Engineer

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This range is provided by Radley James. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

A technology-driven trading firm based in Chicago, operating across global markets with a strong focus on quantitative research, data, and engineering excellence. The success is driven by high-quality data, low-latency systems, and close collaboration between engineers, traders, and researchers.

We are seeking a Lead Data Engineer to own and evolve the data platform that supports trading, research, and risk systems. In this role, you will lead the design and development of scalable, high-performance data pipelines and platforms, while mentoring engineers and setting technical direction.

This is a hands‑on leadership role for someone who thrives in a fast-paced, high-impact trading environment.

• Lead the design and implementation of scalable data architectures supporting trading and research
• Build and maintain robust, low-latency and batch data pipelines for market, reference, and internal data
• Partner closely with traders, quants, and researchers to understand data needs and deliver solutions
• Establish best practices for data quality, reliability, observability, and governance
• Own data ingestion, transformation, and storage across real‑time and historical datasets
• Drive technical decisions around data tooling, architecture, and platform evolution
• Mentor and guide data engineers, conducting code reviews and technical design reviews
• Improve performance, scalability, and fault tolerance of data systems

• 8+ years of experience in Data Engineering or related roles, with leadership responsibility
• Strong programming skills in Python
• Deep experience with data pipeline and stream-processing technologies
• Strong SQL skills and experience with analytical data stores or time‑series databases
• Experience designing data systems for high-volume, high‑velocity data
• Solid understanding of data modeling, schema design, and data quality practices
• Experience working in Linux‑based production environments
• Ability to lead projects end‑to‑end and communicate effectively with technical and non‑technical stakeholders

• Experience in trading, financial markets, or quantitative environments
• Exposure to market data feeds and financial instruments
• Experience with cloud platforms or hybrid on‑prem systems

Not Applicable

Full‑time

Finance

Capital Markets, Investment Management, and Financial Services