Senior Data Engineer – Real-Time ML, Pricing Platform
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Job Description
Senior Data Engineer building real-time data platforms for pricing algorithms at Trumid. Collaborating with engineers and data scientists to enhance infrastructure reliability and performance.
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
- 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
Requirements:
- 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.
Benefits:
- Highly competitive compensation
- Fully paid medical, dental and vision coverage
- Team-oriented and collaborative company culture
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