Senior Remote-First Low-Latency Market Data Engineer

Coinbase, Inc.; Little Rock (AR); Hybrid; USD 191,000 - 225,000; Full time

Job summary

Coinbase is seeking a Senior Data Engineer to build and operate real-time market data systems with low latency, supporting institutional trading across the platform.

You'll own feed handlers, normalization pipelines, and distribution layers, partnering with cross-functional teams to deliver reliable market data capabilities at scale while maintaining responsible AI practices in workflow improvements.

Qualifications

• 3+ years of backend engineering experience building low-latency production systems.
• Hands-on experience with market data infrastructure (feed handlers, normalization, or distribution).
• Proficiency in low-latency Java or C++ and high-throughput messaging (Aeron, SBE).
• Familiarity with venue/exchange connectivity and market data protocols (FIX, ITCH/OUCH).
• Track record shipping features end-to-end and running in production.
• Responsible use of AI with human oversight to improve workflows and quality.

Responsibilities

• Build and maintain market data components including feed handlers and distribution.
• Design low-latency services for real-time data used by trading systems.
• Improve reliability through observability and incident response.
• Write high-quality, well-tested code and contribute to standards.
• Collaborate with engineers and product teams to deliver market data capabilities.

Skills

Backend engineering

Market data infrastructure

Low-latency Java/C++

High-throughput messaging

Market data protocols (FIX, ITCH/OUCH)

Production systems ownership

AI for workflow efficiency

Job description

Coinbase is seeking a Senior Data Engineer to build and operate real-time market data systems with low latency, supporting institutional trading across the platform.

You'll own feed handlers, normalization pipelines, and distribution layers, partnering with cross-functional teams to deliver reliable market data capabilities at scale while maintaining responsible AI practices in workflow improvements.