Data Operations Engineer (USA)
Monitors and optimizes trading processes, builds CI/CD pipelines for data/strategy deployment, ensures quality control, and drives operational improvements using Python, Linux, and SQL in a systematic trading environment.
About the job
Responsibilities
- Collaborate with teams to establish robust monitoring and alerting systems that provide real-time insights into the trading process status. Take a proactive approach to monitoring, promptly identifying and resolving operational issues to minimize downtime and disruptions.
- Develop, enhance, and maintain pipelines dedicated to facilitating data/alpha/strategy generation, testing, and deployment procedures. Foster close collaboration with research teams to ensure the smooth deployment of scripts.
- Establish and sustain quality control measures to ensure the consistency and robustness of scripts and applications. Conduct regular inspections and audits of production lines to identify and rectify any quality-related issues promptly.
- Identify opportunities for continuous improvement within the production process, driven by data analysis and performance metrics. Lead or contribute to cross-functional improvement projects aimed at enhancing production efficiency and increasing overall output.
- Maintain accurate records of production processes, performance metrics, and quality control data. Generate regular reports and provide insights to management on production performance, trends, and improvement initiatives.
Requirements
- Strong working knowledge of Python and Linux is a must.
- Experience working with SQL is an advantage.
- Prior development experience in fault-tolerant distributed or data intensive applications is a plus.
- Process-driven with strong attention to detail.
- Ability and willingness to adapt to new challenges in a dynamic environment with shifting priorities.
- Background in Computer Science, Engineering or a related field.
Benefits
- Competitive salary plus bonus based on individual and company performance.
- Collaborative, casual, and friendly work environment.
- PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
- Pre-tax commuter benefits.
- Weekly company meals.
Skills
Python, Linux, SQL, CI/CD, Monitoring, Alerting, Data Pipelines, Distributed Systems, Quality Control, Deployment Automation
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