Data Engineer — Real-Time ML/Pricing Platform

Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading, and they are seeking a Data Engineer to join their Data & Intelligence team. The role involves building the next generation of the real-time data platform that powers Trumid’s pricing algorithms and machine learning systems, focusing on low-latency data pipelines and distributed data systems.

Responsibilities:

• Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink
• Ensure production SLAs are met for systems that directly impact pricing and trading workflows
• Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting
• Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed

Requirements:

• 2–5 years building production data systems or backend infrastructure
• Strong programming skills in Python and SQL
• Experience building or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems)
• Familiarity with distributed systems or real-time data processing architectures
• Experience operating production systems in cloud environments
• Strong problem-solving skills and interest in building reliable data infrastructure
• Candidates located in the New York City area are preferred