Data Engineer | Python, SQL & Snowflake - WFH
About the Role:
A global macro hedge fund is seeking a Data Engineer to help modernize its data platform, which supports trading activities across more than 100 countries. The role focuses on developing and improving data infrastructure using Python, SQL, and Snowflake, with an emphasis on automated pipelines, data quality, and master data management. You will work with vendor feeds, APIs, and existing data workflows while helping transition the platform to the cloud. Reporting directly to the Head of Data in New York City, you will have ownership of your work and visibility across a global team. This opportunity is suited to a Data Engineer with financial services experience who wants to contribute to the modernization and development of a data platform.
Key Responsibilities:
- Build and maintain automated data pipelines using Python and SQL.Work with vendor feeds, APIs, and existing data workflows.
- Develop and support data solutions using Snowflake.
- Contribute to data transformation workflows using dbt.
- Improve data quality and master data management processes.
- Support the migration of the data platform to cloud-based infrastructure.
- Work with financial market data to support trading activities across more than 100 countries.
- Collaborate with the Head of Data and global teams on data platform modernization.
- Key Technical SkillsPython and SQLSnowflakedbtData pipelines and automation
- Vendor feeds and APIsCloud data platforms
- Data quality and master data management
- Financial market data
Required Experience:
Financial services experience.
Strong Data Engineering skills and experience working with relevant data technologies.
Work Arrangement
Location: Hudson Yards, New York City.
On-site: Four days per week.
Remote: Fridays.
Salary & Benefits
Base Salary: $150,000–$200,000, depending on experience. Additional Bonus: Offered.