Data Engineer

CW Talent Solutions; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading quantitative investment firm seeks a data engineer to design and maintain scalable data systems. This role involves optimizing data pipelines and ensuring data quality to support high-value research systems. The ideal candidate has strong Python and SQL skills, with experience in data tools like Spark and Airflow, and familiarity with quant trading or ML. Competitive compensation and career growth opportunities are offered.

Qualifications

• Strong Python and SQL skills.
• Excellent attention to detail and communication.
• Experience with Spark, Airflow, Snowflake, or similar preferred.
• Exposure to quant trading, ML, or NLP data pipelines a plus.

Responsibilities

• Build and optimise data pipelines, tools, and storage systems.
• Automate research deployment into live trading environments.
• Ensure data quality and create dashboards for key insights.
• Develop libraries and datasets supporting LLM and ML research.

Skills

Python

SQL

Attention to detail

Communication

Tools

Spark

Airflow

Snowflake

Job description

Direct message the job poster from CW Talent Solutions

CW Talent Solutions is partnering with a leading quantitative investment firm known for its scientific, data-driven approach to markets. This is a chance to join a high performing, revenue generating team building world class data infrastructure.

The Role

Design and maintain scalable, high-quality data systems powering quantitative research and trading. Work with researchers to automate workflows, enhance accessibility, and drive innovation through advanced data engineering.

Responsibilities

• Build and optimise data pipelines, tools, and storage systems.
• Automate research deployment into live trading environments.
• Ensure data quality and create dashboards for key insights.
• Develop libraries and datasets supporting LLM and ML research.

Requirements

• Strong Python and SQL skills.
• Excellent attention to detail and communication.
• Experience with Spark, Airflow, Snowflake, or similar preferred.
• Exposure to quant trading, ML, or NLP data pipelines a plus.

Why Apply?

• Direct impact on high-value research systems.
• Competitive NYC compensation & career growth.

Sean Sweeney