Data Production Engineer

Responsibilities

• Write tools to classify, onboard, and reconcile data using a modern Python data stack
• Parse, analyze, and perform quality checks on large datasets
• Identify and develop new processes to enrich data and assist researchers in featurizing data
• Debug anomalies in derived datasets and trace issues back to their source
• Provide proactive oversight of the data pipeline and resolve production issues

Requirements

• 2+ years of experience in a data engineering/science role or a relevant degree
• Strong proficiency in Python
• Experience with SQL dialects (e.g., PostgreSQL, MSSQL, MySQL)
• Comfort with the Linux command line
• Ability to provide technical support in a production trading environment

Preferred Qualifications

• Experience managing ETL pipelines
• Experience with financial datasets such as Refinitiv, S&P, or Bloomberg

About the Company

Hudson River Trading (HRT) brings a scientific approach to trading financial products, utilizing one of the world's most sophisticated computing environments for research and development in algorithmic trading.