This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Trumid is seeking a Senior 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.
• This role focuses primarily on real-time streaming infrastructure and distributed data systems that support production algorithms.
• 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.

Qualifications

• 5+ years building production data infrastructure or backend systems.
• Strong programming skills in Python and SQL.
• Experience designing or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems).
• Experience working with distributed systems or real-time data processing.
• Experience operating production systems in cloud environments.
• Strong understanding of system reliability, monitoring, and failure handling.
• Ability to collaborate with engineers, quantitative researchers, and data scientists to deliver reliable data infrastructure.
• Enjoy building high-performance distributed systems and operating production infrastructure where latency, reliability, and operational stability are critical.

Requirements

• 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.
• Define architectural standards for real-time data delivery, reliability, and observability.
• 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.
• Mentor engineers on best practices for distributed data systems and production-grade data pipelines.
• Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed.

Benefits

• Highly competitive compensation.
• Fully paid medical, dental and vision coverage.
• Team-oriented and collaborative company culture.
• Flexibility for in-office and work from home arrangements.
• In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200,000 - $250,000.
• This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job.
• Several factors are considered when determining a candidate’s compensation.
• Please note that the salary range listed for this position is based on the level of experience outlined in the job description.
• If a candidate's experience differs from the requirements, the salary may be adjusted accordingly.