DRW
Senior Software Engineer - Data Integration

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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 Software Engineer on our Platform Data - Integration team, you will play an integral role in building systems and tools that allow users to discover and share data across the DRW organization. You will work alongside individual Traders, Quantitative Researchers, and Back-Office personnel to best utilize the firm’s data and platform tools.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Will Do In This Role
Design and deliver software services and data tools that expand the data delivery capabilities of DRW’s Data Platform. Define architectural patterns, standards, and technology decisions for the team. Apply these decisions to new solutions, as well as to evolve legacy systems. Collaborate with teams across the organization to enable standardized data access. Apply platform thinking to solve problems in a repeatable way at scale with standard 3rd party, open source, and in-house toolsets. Develop AI workflows to improve team processes and accelerate feature delivery.
What You Will Need In This Role
8+ years of experience designing, developing, and delivering data-heavy software services. Excellent written and verbal communication skills. Proven ability to work in a collaborative, agile, and fast-paced environment, prioritizing multiple tasks and projects, and efficiently handle the demands of a trading environment. Strong technical problem-solving skills. Comfort working within a globally distributed team. Expertise in Python, Java, or C#. Expertise in multiple programming paradigms, design patterns, and refactoring. Experience with multiple data storage technologies (e.g. RDBMS, NoSQL, Cassandra, Kafka, etc.) and knowledge of their associated trade-offs. Experience designing software in multiple architectural styles (e.g. Service-Oriented, Event-Driven, Monolithic, etc.). Experience building distributed systems which include load balancing, horizontal scaling, and data processing. Experience confidently discussing tradeoffs between different technology and architectural choices and driving them to consensus. Experience with multiple data formats and serialization systems (e.g. Protobuf/gRPC, Avro, Thrift, JSON, etc.). Experience owning products end-to-end, from requirements through operations. Experience responding to, managing, and resolving incidents. Experience managing and observing workloads in a Kubernetes environment. Experience mentoring junior software engineers.


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