Job Description: Build and maintain scalable data pipelines and analytics-ready datasets using Python, SQL, dbt, and Snowflake Modernize legacy financial data systems into clean, well-documented data models Support reporting, investment analysis, and business operations through reliable data infrastructure Collaborate with cross-functional teams and automate processes to improve efficiency and data quality Key Qualifications: 2-4 years of experience in data engineering Strong proficiency in Python and SQL Experience with Snowflake or similar cloud data warehouses Familiarity with Airflow and ETL/data pipeline orchestration Experience working with financial services data (e.g., portfolios, securities, performance) Understanding of data modeling and warehouse design best practices