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# Data Production Engineer

- **Company:** Hudson River Trading
- **Location:** New York, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Algorithmic Trading, Data Analysis, Big Data, Information Engineering, Data Files, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), PostgreSQL, Linux Commands, Microsoft SQL Server, MySQL, Parsing, SQL Databases, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/data-production-engineer-hudson-river-trading-8742325

## About the Role

* Track record of being detail-oriented and thorough
 * You excel in problem solving and researching large datasets to resolve complex issues
 * You have a collaborative attitude that lends itself to cross-team customers and projects
 * You thrive in the fast-paced environment of a daily live trading operation, * 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline
 * Experience in Python strongly preferred
 * Experience managing ETL pipelines is a plus
 * Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
 * Comfortable with the Linux command line
 * Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
 * Able to provide technical support in a production trading environment

## Description

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research., * Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack

 * Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
 * Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
 * Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times


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