Staff Data Engineer, Market Data

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Coinbase is building the future of institutional trading as part of the Everything Exchange, powering the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. As a Staff Data Engineer, Market Data on the Institutional Markets team, you'll architect, build, and own the systems that generate, capture, normalize, and distribute real-time market data across Coinbase at low latency - the ticker plant and distribution backbone of a unified trading platform - while leading a lean, high-impact team. It's a rare chance to architect market data infrastructure from the ground up, with the ownership of a startup and the reach of Coinbase.

What you'll do:

• Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity.
• Design low-latency, high-throughput systems for real-time market data used by trading systems.
• Strengthen reliability and performance by contributing to observability, on-call, and incident response.
• Write high-quality, well-tested code and raise the quality bar on a lean team.
• Partner with engineers, product, and cross-functional stakeholders to deliver market data capabilities.

Required Skills and Experience:

• 5+ years of backend engineering, with experience building and maintaining production low-latency systems.
• Hands-on experience with market data systems (feed handlers, normalization, or distribution).
• Proficiency in low-latency Java (or C++) and high-throughput messaging (Aeron, SBE, or similar).
• Familiarity with venue/exchange connectivity and market data protocols (FIX, ITCH/OUCH, multicast).
• Track record delivering features end-to-end and operating what you build.
• Utilizes generative AI responsibly, maintaining