Senior Data Engineer: Scalable Financial Data Pipelines

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

Benefits offered by this job

Health benefits (PPO health, dental, &

Weekly company meals

Pre-tax commuter benefits

Discretionary bonus

Job summary

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

You will develop scalable Python- and SQL-based pipelines, ensure data quality, and collaborate with researchers and infrastructure teams across equities, options, futures, fixed income, ETFs, and FX.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 5+ years of data engineering experience in a systematic trading, quantitative research, hedge fund, or financial tech environment.
• Proficiency in Python and SQL for building large-scale ingestion and ETL pipelines.
• Strong Linux experience with scripting, automation, and production data processing.
• Knowledge of financial data across multiple asset classes and data feeds (market, reference, tick, vendor).
• Familiarity with modern data storage formats and technologies such as Parquet, Arrow, object storage, and columnar databases.

Responsibilities

• Design, build, and maintain scalable ingestion pipelines for market, reference, tick, and alternative data from diverse vendors.
• Own normalization, validation, storage, and lifecycle management of research datasets for quantitative research and simulation.
• Develop Python- and SQL-based data processing workflows across multiple asset classes (equities, options, futures, fixed income, ETFs, FX).
• Partner with researchers, data architects, and infrastructure teams to onboard new datasets and improve data quality.
• Build monitoring, automation, and tooling to ensure reliability, performance, and scalability of the data platform.
• Document pipelines and best practices while evolving Trexquant's data infrastructure.

Skills

Python

SQL

Linux

Data engineering

Data validation

Collaboration

Education

Bachelor's/Master's in CS/Engineering/Quantitative

Tools

Parquet

Arrow

Columnar databases

Object storage

Job description

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

You will develop scalable Python- and SQL-based pipelines, ensure data quality, and collaborate with researchers and infrastructure teams across equities, options, futures, fixed income, ETFs, and FX.