Remote-First Senior Market Data Engineer - Real-Time

Coinbase; Denver (CO); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is building the future of institutional trading. As a Senior Data Engineer on the Market Data team, you will build and operate real-time market data systems that feed trading platforms with low-latency, high-throughput data.

You will implement feed handlers, normalization pipelines, and distribution components, improve reliability through observability and on-call practice, and ship features end-to-end in collaboration with engineers and product managers.

Qualifications

• 3+ years building production low-latency systems.
• Hands-on with market data infrastructure (feed handlers, normalization, or distribution).
• Proficiency in low-latency Java or C++ and familiarity with high-throughput messaging frameworks.
• Familiarity with venue connectivity and market data protocols (FIX, ITCH/OUCH).

Responsibilities

• Build and maintain market data components including feed handlers, normalization pipelines, distribution systems, and venue connectivity.
• Design and implement low-latency, high-throughput services for real-time market data consumed by trading systems across the platform.
• Drive reliability and performance improvements through observability, on-call participation, and incident response.
• Write high-quality, well-tested code and contribute to engineering standards on a lean team.
• Partner with engineers, product managers, and cross-functional stakeholders to deliver market data capabilities that support Coinbase's institutional trading roadmap.

Skills

Backend engineering

Market data infrastructure

Low-latency programming

Java/C++

Messaging frameworks (Aeron/SBE)

FIX/ITCH/Multicast

Job description

Coinbase is building the future of institutional trading. As a Senior Data Engineer on the Market Data team, you will build and operate real-time market data systems that feed trading platforms with low-latency, high-throughput data.

You will implement feed handlers, normalization pipelines, and distribution components, improve reliability through observability and on-call practice, and ship features end-to-end in collaboration with engineers and product managers.