Senior Data Engineer - Scalable Financial Data Pipelines

Trexquant Investment; Stamford (CT); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Pre-tax commuter benefits

Weekly company meals

Job summary

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure for our quantitative research platform. You will own ingestion, normalization, storage, and ongoing maintenance of large-scale financial datasets from hundreds of global vendors, collaborating with researchers and platform engineers.

The role covers multiple asset classes and requires Python/SQL, Linux, and strong data quality focus.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 5+ years of data engineering experience within a systematic trading, quantitative research, hedge fund, or financial technology environment.
• 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.
• Experience working with market data, tick data, reference data, and vendor data feeds, including normalization, validation, and quality control.
• 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.

Responsibilities

• 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.

Skills

Python

SQL

Linux

Financial data

ETL pipelines

Data quality

Communication

Education

Bachelor's or Master’s degree in Computer Science/Engineering/Mathematics or related field

Tools

Parquet

Arrow

Object storage

Columnar databases

Job description

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure for our quantitative research platform. You will own ingestion, normalization, storage, and ongoing maintenance of large-scale financial datasets from hundreds of global vendors, collaborating with researchers and platform engineers.

The role covers multiple asset classes and requires Python/SQL, Linux, and strong data quality focus.