About the Role:
As a Research Engineer, you will:
- Work closely with researchers and engineers to improve data interaction for trading decisions.
- Lead major projects and mentor junior engineers.
- Manage, build, and maintain scalable data pipelines across on-prem and cloud platforms.
- Ingest raw market data, normalize it into internal formats, and support quantitative research for trading strategies.
- Build automation and tooling to enhance resiliency, visibility, and traceability.
- Partner with quantitative researchers and developers to design and deploy data solutions.
- Monitor intra-day and nightly data pipeline jobs and tasks.
- Maintain and improve CI/CD processes and regression test suites for data pipelines.
- Troubleshoot and conduct forensic analysis of detailed data issues.
- Perform ongoing performance analysis and tuning of cloud platforms and pipeline components.
Key Responsibilities:
- Develop and manage scalable data pipelines from raw data ingestion to normalized formats.
- Implement automation and tooling for improved system resiliency and traceability.
- Collaborate with researchers and developers to meet their data needs.
- Monitor and maintain data pipeline tasks and CI/CD processes.
- Conduct performance tuning and troubleshooting of data systems.
Qualifications and Qualities:
- Strong experience in building and managing data pipelines.
- Proficiency with on-prem and cloud platforms.
- Expertise in automation and tooling development.
- Excellent collaboration skills, with experience working with researchers and developers.
- Strong problem-solving abilities and attention to detail.
What We Offer:
- A challenging and rewarding work environment.
- Opportunities to work on high-impact projects within the trading industry.
- Competitive compensation package, including a competitive salary and comprehensive benefits.
If you are excited by the prospect of working in a fast-paced, innovative environment and have a passion for data engineering, apply now for immediate consideration.