full-time
Quantitative Data Engineer – Python
Goldman Lloyds
- Employer
- Goldman Lloyds
- Location
- New York
- Working pattern
- on-site
- Salary
- $225,000–$250,000 / year
About the role
Build and maintain scalable Python data pipelines and infrastructure to support equity research and portfolio analysis. Collaborate with Portfolio Managers to translate investment questions into robust data solutions and research-ready datasets. Requires expert-level Python and SQL skills with professional experience in data engineering or quantitative development. Experience with financial datasets, such as market and fundamental data, and modern data tools like Spark and Airflow is highly desired.