Data Engineer, Cumberland/Options
AI Career Space
$150,000 - $200,000 / year
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Description
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
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 & 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
Qualifications:
- 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
The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
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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Benefits
- health insurance
- vision insurance
- 401(k)
- bonus
About this role
DRW's Cumberland and FICC Options team is building the data infrastructure that powers trading decisions across options and delta-one strategies. As a Data Engineer here, you'd own the full lifecycle of trading datasets—designing ingestion pipelines, implementing quality controls, and collaborating with traders and researchers to ensure data flows reliably at scale. The work spans internal data generation, vendor integrations, and creating annotations that support both current analysis and future AI applications.
This role demands solid experience with Python data engineering, a working knowledge of options and futures products, and real expertise in financial time-series data and point-in-time correctness. You'll need to have built data quality and monitoring systems before, and you should be comfortable moving quickly in a trading environment where data issues have immediate consequences. The position is based in Chicago and requires in-office presence.
The salary range is $150,000 to $200,000 depending on experience, plus discretionary bonus eligibility and standard benefits including medical, dental, vision, 401k with employer match, and disability coverage.
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Pay for this role
$150,000 to $200,000 per year
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