Data Ops Engineer: Reliable Trading Pipelines and CI/CD

Trexquant-Investment-Lp; New York (NY); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Full health, dental & vision coverage

Pre-tax commuter benefits

Weekly company meals

Job summary

Trexquant-Investment-Lp in New York is seeking a Data Operations Engineer with a strong operational focus to monitor and optimize trading workflows, enhance development and deployment processes, and contribute to overall efficiency. You will collaborate across research and engineering to ensure reliable data/alpha/strategy generation, and drive continuous improvement.

Applicants should have strong Python and Linux skills, plus SQL experience.

Qualifications

• Strong working knowledge of Python and Linux.
• Experience with SQL is an advantage.
• Development experience in fault-tolerant distributed or data-intensive applications is a plus.
• Background in Computer Science, Engineering or related field.

Responsibilities

• Operational Monitoring and Troubleshooting: establish robust monitoring and alerting systems and promptly resolve issues to minimize downtime.
• Continuous Integration and Deployment: develop, enhance, and maintain data/alpha/strategy pipelines and deployments; collaborate with research teams.
• Quality Control and Assurance: implement quality control measures and conduct regular inspections of production lines.
• Continuous Improvement Initiatives: identify opportunities for process improvements based on data and metrics; lead cross-functional projects.
• Documentation and Reporting: maintain records of processes and performance metrics and provide management insights.

Skills

Python

Linux

SQL

Data processing

Attention to detail

Education

BS in Computer Science or related field

Job description

Trexquant-Investment-Lp in New York is seeking a Data Operations Engineer with a strong operational focus to monitor and optimize trading workflows, enhance development and deployment processes, and contribute to overall efficiency. You will collaborate across research and engineering to ensure reliable data/alpha/strategy generation, and drive continuous improvement.

Applicants should have strong Python and Linux skills, plus SQL experience.