Senior Data Engineer

Trexquant Investment LP

Senior Data Engineer responsible for maintaining scalable data infrastructure at Trexquant. Collaborating with researchers to ensure accurate and accessible financial datasets.

Posted 7/14/2026full-timeStamford • Connecticut, New York • 🇺🇸 United StatesSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and maintaining scalable data ingestion pipelines, with strong proficiency in Python and SQL for data processing workflows. Deep understanding of financial data across multiple asset classes and experience in data quality management and operational tooling.

Highest-signal resume keywords

Python DevelopmentSQL DevelopmentData Engineering ExperienceFinancial Data KnowledgeLinux Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionETL PipelinesData NormalizationData ValidationData StorageData ProcessingAutomationMonitoringOperational ToolingQuantitative Research

Soft Skills

CommunicationCollaboration

Tools & Technologies

ParquetArrowObject StorageColumnar Databases

Industry Keywords

Systematic TradingQuantitative ResearchHedge FundFinancial TechnologyMarket DataTick DataReference DataVendor Data Feeds

Tech Stack

Tools & technologies

ETLLinuxPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Competitive salary plus bonus based on individual and company performance.
Collaborative, casual, and friendly work environment.
PPO health, dental, and vision insurance premiums fully covered for you and your dependents.
Pre-tax commuter benefits.
Weekly company meals.