What are the responsibilities and job description for the Data Engineer | Quantitative Trading Firm | Python & SQL position at Delmar Nord?
Data Engineer | Quant Trading Firm | New York, NY
Delmar Nord is partnered with a leading quantitative trading firm to find a talented Data Engineer to join their high-performance engineering team. This is a rare opportunity to work at the intersection of finance and cutting-edge data infrastructure.
About the Firm
Our client is a globally recognized quantitative trading firm known for its rigorous, research-driven approach to markets. They operate at massive scale and build the systems that power some of the most sophisticated trading strategies in the world.
The Role
As a Data Engineer, you will design, build, and maintain robust data pipelines and infrastructure that underpin critical trading and research operations. You'll collaborate closely with quantitative researchers, traders, and software engineers to deliver reliable, high-quality data at speed and scale.
Responsibilities
• Design and build scalable data pipelines to ingest, transform, and deliver large volumes of structured and unstructured data
• Develop and maintain data models and schemas using SQL across relational and analytical databases
• Write clean, efficient Python code for data processing, automation, and tooling
• Partner with quant researchers and technologists to understand data requirements and translate them into robust engineering solutions
• Monitor, troubleshoot, and optimize data systems for performance and reliability
• Champion data quality, documentation, and best practices across the team
Requirements
• 2 years of experience in a Data Engineering or related role
• Strong proficiency in Python — comfortable writing production-quality code
• Advanced SQL skills, including complex query optimization and data modeling
• Experience working with large-scale datasets and distributed data systems
• A rigorous, detail-oriented mindset with a passion for solving hard problems
• Strong communication skills and ability to collaborate across technical teams
Nice to Have
• Experience in financial services, trading, or a quantitative environment
• Familiarity with data warehousing tools (e.g., Snowflake, BigQuery, Redshift)
• Exposure to workflow orchestration tools (e.g., Airflow, Prefect)
• Knowledge of streaming data frameworks (e.g., Kafka, Spark)
What's on Offer
• Highly competitive compensation package (base bonus)
• Work alongside some of the brightest minds in quantitative finance
• Challenging, intellectually stimulating problems at scale
• Strong culture of learning, ownership, and technical excellence
Interested? Apply directly or reach out to the team at Delmar Nord to learn more about this opportunity.