Highlight
Summary
About the Role
About You
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
- 4-6 years of hands-on experience in data engineering or development.
- Experience with at least one major data platform: Databricks, Microsoft Fabric, or Snowflake.
- Proficiency in SQL and one programming language (Python, Scala, or Java).
- Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and ML services (Azure ML, Databricks ML).
- Experience with Spark and Delta Lake for scalable data processing.
- Familiarity with Azure Data Factory, Synapse, Logic Apps, and other Azure services.
- Knowledge of CI/CD pipelines and version control tools (e.g., Git).
- Strong communication and collaboration skills.
- Problem-solving mindset and ability to work cross-functionally.
Benefits
- Comprehensive benefits package including health coverage, vacation time, paid leave, and retirement plan.
- Eligibility for a discretionary bonus based on performance.
At Rockefeller Capital Management, we aspire to bring the unique promise of the Rockefeller legacy together with a culture of innovation and cutting-edge technology to help discerning clients—individuals, families, businesses, and institutions—achieve their goals through the delivery of premier financial advisory and investment management. We specialize in wealth management, asset management, and investment management with the objective of connecting clients to a broad network of solutions and compelling opportunities that they wouldn’t be able to explore anywhere else. Originally founded in 1882 as the family office of John D. Rockefeller, the firm has evolved to offer strategic advice to ultra- and high-net-worth individuals and families, institutions, and corporations.