Senior Data Engineer, Unified Platform

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.

As a Senior Data Engineer on our Data Experience team, you will play an integral role in bringing vendor datasets into our data platform, governing our centralized data pipelines, supporting rapid data product development, and working alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools. 

Technical Requirements Summary:  

• Have experience designing and building data pipelines 

• Have experience working within modern batch or streaming data ecosystems 

• An expert in SQL and have experience in Java or Python 

• Can apply data modeling techniques 

• Able to own the delivery of data products, working with analysts and stakeholders to understand requirements and implement solutions 

• Able to contribute to project management and project reporting 

What you will do in this role:  

• Help model, build, and manage data products built atop DRW’s Unified Data Platform. 

• Work closely with Data Strategists to determine appropriate data sources and implement processes to onboard and manage new data sources for trading, research, and back-office purposes. 

• Contribute to data governance processes that enable discovery, cost-sharing, usage tracking, access controls, and quality control of datasets to address the needs of DRW trading teams and strategies. 

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