Hiring: Senior Data Engineer Company: Trexquant Investment LP Location: New York, NY Job Posted Time: 2026-09-16 18:17:56 Target Skills & Keywords : Data Pipeline, ETL, Equities, Fixed Income, Linux, Parquet, Python, SQL About the job Experience: •5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environment Required Skills: •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 Qualifications: •Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field •Python and SQL development experience in building large-scale data ingestion and ETL pipelines •Strong Linux experience, including scripting, automation, and operating production data processing systems •Deep knowledge of financial data across multiple asset classes, including equities, options, futures, fixed income, ETFs, FX, and alternative datasets •Operational familiarity with modern data storage formats and technologies such as Parquet, Arrow, object storage, and columnar databases •Strong communication and collaboration skills, with the ability to work effectively alongside researchers and engineering teams Compensation: •$150,000 - $200,000 / year •Competitive salary plus bonus based on individual and company performance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!