Data Engineer

• Design, build, and maintain scalable ingestion pipelines for market, reference, tick, and alternative data from a diverse set of external vendors.
• Own the normalization, validation, storage, and lifecycle management of research datasets, ensuring data is accurate, consistent, and readily accessible for quantitative research and simulation.
• Develop and optimize Python- and SQL-based data processing workflows supporting multiple asset classes, including equities, options, futures, fixed income, ETFs, and FX.
• Partner with quantitative researchers, data architects, and infrastructure teams to onboard new datasets, improve data quality, and deliver reliable research-ready data.
• Build monitoring, automation, and operational tooling to ensure the reliability, performance, and scalability of the firm's data platform.
• Document data pipelines and engineering best practices while contributing to the ongoing evolution of Trexquant's research data infrastructure.

Explore Data Engineer at Trexquant Investment LP. Review requirements and application details.