Engineer

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making.  Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology.  For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient.

We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better.

As an engineer for the Data Ingest team, you will build and maintain the core, top-level data assets that power our research platforms. These are used by every desk at CTC, from junior traders to executives. Because of this broad user base, the product’s surface area is extensive. By ensuring high quality data in a timely fashion, you help support data-driven decision-making on daily basis.

WHAT YOU'LL DO

• Own the quality, reliability, and overall health of our source data pipelines.
• Work closely with Traders and Quantitative Researchers to understand their needs, and how they use our final data products.
• Act as the data-delivery expert for your stakeholders, and design the most reliable and efficient way to source the data they need.
• Optimize existing pipelines to improve SLA for users and lower the compute and storage footprint across the firm.
• Migrate existing pipelines onto modern data platforms and hardware, and improve the process for future migrations.
• Collaborate with the broader data organization to improve our overall platform offering and functionality.
• Detect source data quality issues that lead to incorrect downstream metrics, and partner with data owners to build tools that surface and resolve these issues before users see them.

WHAT WE'RE LOOKING FOR

• Hands-on experience building and operating large-scale data pipelines, ideally in the hundreds of terabytes to petabytes range.
• Strong software architecture and large-scale system design skills.
• Strong proficiency in SQL and in object-oriented languages such as Python.
• Hands-on experience with at least one major cloud provider (AWS, Azure, GCP) and/or HPC workloads.
• Strong interpersonal skills and the ability to work in a team environment.