This range is provided by Evolve Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$180,000.00/yr - $250,000.00/yr
A world-leading trading firm is seeking a Lead Data Engineer to architect, scale, and optimize the data infrastructure powering its multi-billion-dollar systematic trading business. In this high-impact role, you’ll work alongside quantitative researchers and data scientists to design advanced data pipelines that unlock new sources of alpha.
This is a hands-on engineering role with deep product ownership — ideal for someone passionate about building fast, reliable, and scalable systems in a data-driven environment.
Responsibilities:
- Own large-scale structured and unstructured datasets across multiple modalities
- Build, automate, and maintain robust data pipelines in a cloud-native environment
- Collaborate with research and business teams to identify and onboard new datasets
- Develop tooling for data exploration, monitoring, and quality assurance
- Optimize schema design, query performance, and pipeline reliability
- Set up alerts, health checks, and validation systems to ensure data quality
Required Skills & Experience:
- Deep expertise in Python, SQL, and cloud platforms (e.g., AWS, GCP, or Azure)
- Strong experience with ETL processes, data normalization, and pipeline automation
- Familiarity with data modeling, versioning, scheduling (Airflow), and containers
- Excellent communication skills and the ability to work cross-functionally
Preferred Qualifications:
- Experience with time-series data and financial data sources
- Exposure to ML pipelines or research workflows
- Experience with DBT or other modern data tooling
- Degree in Computer Science, Engineering, Mathematics, or related field
Why Apply?
- Collaborate with some of the top minds in quantitative finance
- Drive high-impact projects at the core of a market-leading trading platform
- Join a fast-paced, data-first environment with cutting-edge infrastructure
- Competitive compensation and long-term growth opportunities
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Financial Services, Capital Markets, and Data Infrastructure and Analytics
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