Trexquant
Senior Data Engineer
Stamford, Connecticut, United States · Senior
Sponsorship not specified$150k-$200kDetected 8 days ago
PythonSQLLinuxData EngineeringResearchCommunicationCollaboration
About the role
- 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.
- 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.
- 5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environment.
Responsibilities
- Description Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform.
- 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.
- 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.
- Python and SQL development experience in building large-scale data ingestion and ETL pipelines.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
Compensation
- $150k-$200k
Benefits
- Competitive salary plus bonus based on individual and company performance.
- PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- 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.
Equal opportunity
- Equal Opportunity Employer.
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This listing is sourced directly from Trexquant's careers page and normalized into a canonical job model.