Data Production Engineer

Hudson River TradingNew York, NY
$150,000 - $200,000Onsite

About The Position

Hudson River Trading (HRT) is looking for a Data Production Engineer to join their Data team. Data is central to HRT's operations, enabling them to derive insights and achieve success in a dynamic market. This role offers the chance to work directly with live trading teams, supporting one of the largest automated trading systems globally. The engineer will be responsible for writing automation, exploring data, collaborating with research and trading teams, and interacting with external partners like data providers, brokers, and exchanges. Additionally, the role involves acquiring, analyzing, and preparing data for quantitative research.

Requirements

  • 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.
  • 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.
  • Track record of being detail-oriented and thorough.
  • Excel in problem solving and researching large datasets to resolve complex issues.
  • Collaborative attitude that lends itself to cross-team customers and projects.
  • Thrive in the fast-paced environment of a daily live trading operation.

Nice To Haves

  • Experience managing ETL pipelines is a plus.
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus.

Responsibilities

  • Write tools to classify, onboard, and reconcile data.
  • Onboard datasets, explore data, and automate tasks using a modern Python data stack.
  • 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 researchers in cleaning and featurizing data.
  • Find anomalies in derived datasets and trace the issues back to their source using deductive reasoning, technical analysis, and communication with stakeholders.
  • Provide proactive oversight of the data pipeline.
  • Handle inquiries from internal customers.
  • Resolve issues with efficient turnaround times.

Benefits

  • Company-paid medical and/or other benefits.
  • Sign-on bonus.
  • Discretionary performance bonus.
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