Senior Data Engineer

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ingestion, normalization, storage, and ongoing maintenance of large-scale financial and alternative datasets from hundreds of global vendors.The successful candidate will develop scalable data pipelines that transform raw vendor feeds into clean, consistent, research-ready datasets for systematic researchers and simulation platforms. Working closely with quantitative researchers, data platform engineers, and infrastructure teams, this person will ensure that market, reference, and alternative data is accurate, reliable, and readily accessible across asset classes including equities, options, futures, fixed income, ETFs, and foreign exchange.This is an ideal opportunity for an engineer who enjoys solving complex data engineering challenges in a research-driven environment where data quality, scalability, and performance directly impact alpha generation.Responsibilities Design, build, and maintain scalable ingestion pipelines for market, reference, tick, and alternative data from a diverse set of external vendorsOwn the normalization, validation, storage, and lifecycle management of research datasets, ensuring data is accurate, consistent, and readily accessible for quantitative research and simulationDevelop and optimize Python- and SQL-based data processing workflows supporting multiple asset classes, including equities, options, futures, fixed income, ETFs, and FXPartner with quantitative researchers, data architects, and infrastructure teams to onboard new datasets, improve data quality, and deliver reliable research-ready dataBuild monitoring, automation, and operational tooling to ensure the reliability, performance, and scalability of the firm's data platformDocument data pipelines and engineering best practices while contributing to the ongoing evolution of Trexquant's research data infrastructure Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environmentPython and SQL development experience in building large-scale data ingestion and ETL pipelinesStrong Linux experience, including scripting, automation, and operating production data processing systemsDeep knowledge of financial data across multiple asset classes, including equities, options, futures, fixed income, ETFs, FX, and alternative datasetsExperience working with market data, tick data, reference data, and vendor data feeds, including normalization, validation, and quality controlFamiliarity with modern data storage formats and technologies such as Parquet, Arrow, object storage, and columnar databasesStrong communication and collaboration skills, with the ability to work effectively alongside researchers and engineering teams Benefits Competitive salary plus bonus based on individual and company performanceCollaborative, casual, and friendly work environmentPPO health, dental, and vision insurance premiums fully covered for you and your dependentsPre-tax commuter benefitsWeekly company mealsApplications are open for both Stamford and New York City offices, the latter with a planned opening in Fall 2026.The base salary range is $150,000-$200,000, depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.Trexquant is an Equal Opportunity Employer.