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Role Description

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.
• 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.

Qualifications

• 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.

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.
• 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.

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 $175,000 - $225,000.
• 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.