Data Engineer, Cumberland/FICCO
Indexed description
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
About The Team
The DRW Cumberland & FICC Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval.
About The Role
We are seeking a Data Engineer to join our trading team. This role will be responsible for onboarding, transforming, and curating datasets. You will collaborate closely with traders, researchers, and quantitative developers to support options and delta-one trading strategies. In this role you will:
- Build, maintain, and manage core trading datasets
- Implement data quality and control processes
- Incorporate new data from both internally derived and vendor systems
- Collaborate with research teams to apply novel ideas to historic data sets
- Create AI sympathetic annotations to new and existing data sets
- 3+ years of demonstrated experience designing and implementing ingestion pipelines
- Foundational understanding of the Python data science ecosystem
- Strong understanding of option and future products and their respective data requirements
- Strong understanding of financial point-in-time and time-series data and analysis
- An understanding of the financial data vendor landscape and product offerings
- Proven expertise in developing data quality control processes to detect gaps or inaccuracies
- Experience with monitoring, observability, and alerting systems for data pipelines
- Proven ability to work in an agile, fast-paced environment and handle trading environment demands
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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