Data Engineer — Real-Time ML/Pricing Platform

Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance.

Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly.

With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid.

Our business model thrives on participation, and so does our company culture. We rely on every team member’s contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven.

Trumid is seeking a Data Engineer to join our Data & Intelligence team and build the next generation of the real-time data platform that powers Trumid’s pricing algorithms and machine learning systems.

Our pricing infrastructure relies on low-latency, event-driven data pipelines that deliver market and operational data to production algorithms with sub-second latency. These systems directly support Trumid’s Fair Value Model Pricing (FVMP) and other core data products used across the platform.

While this role focuses primarily on real-time streaming infrastructure and distributed data systems that support production algorithms, it will also include occasional contributions to the batch workloads that the team supports for both research and reporting use cases.

This position is U.S.-based, with remote or hybrid options available. Candidates located in the New York City area are preferred.

Python, SQL, streaming systems such as Kafka and Flink, and cloud-based distributed data infrastructure. We rely heavily on AI-powered IDEs and agentic workflows for development. 

• Distributed streaming systems that ingest market data and operational events and deliver structured inputs to ML models and pricing algorithms with sub-second latency
• Infrastructure for onboarding new market data sources, enabling rapid evaluation and integration into pricing models
• Data pipelines to support multiple research environments and model backtest frameworks

• →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

• 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

You enjoy building high-performance data systems, working closely with experienced engineers, and contributing to infrastructure that powers real-time decision-making.

We are hiring for multiple roles and levels on this team. Candidates whose experience aligns more closely with another level may be considered for that role during the interview process.