Data Operations Engineer
Chicago, Illinois, United States
Hudson River Trading
HRT is first and foremost a math and technology company. We are engineers and researchers working as one team to solve difficult problems trading millions of shares a day on the world’s financial markets.Data is at the core of everything we do here at HRT. We excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a competitive market. This is a challenging and exciting role that provides opportunities to contribute to the success of HRT.
The Data Operations Engineer will write software, 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.
The role requires strong data engineering skills, experience wrangling data, and the ability to provide exceptional support in a production trading environment.
Responsibilities
- Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets using Airflow, explore data, and automate tasks using a modern Python data stack.
- Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and manage issues through resolution.
- Vendor Technical Specialist: Work closely with financial and alternative data vendors to acquire data and solve issues, including Bloomberg, Refinitiv, and many others. Be the internal expert on their various delivery platforms (FTP, APIs, etc) and databases.
- Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validation, and quality checks. Identify and develop new processes within the data request process to enrich data.
Skills
- Strong working knowledge of Python
- 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 (you love when everything lines up!)
- Excellent communication skills, oral and written
Profile
- A minimum of 2-4 years of experience wrangling data is preferred
- Strong programming experience in Python
- Experience managing ETL pipelines
- Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a plus
- You enjoy problem solving and researching large datasets to resolve complex issues
- You thrive when collaborating with people who motivate you and make you better
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.
Tags: Airflow APIs Computer Science Data analysis DataOps Engineering ETL Excel Linux Mathematics MS SQL MySQL Physics Pipelines PostgreSQL Python Research SQL
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