Rockefeller Capital Management was established in 2018 as a leading independent financial advisory services firm. 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 from offices in 30 markets throughout the United States, as well as an office in London. The Firm oversees $151 billion in client assets as of December 31, 2024. We are seeking a skilled AI/ML Data Engineer with 4–5 years of hands-on experience in data engineering and analytics. The individual should have expertise in at least one of the following platforms: Databricks, Snowflake, or Microsoft Fabric (with preference for Databricks /Microsoft Fabric). The role involves designing and implementing scalable data solutions, ensuring performance, and supporting business needs with reliable and secure data delivery. The role also values exposure to machine learning and AI workflows using Azure or open-source frameworks such as scikit-learn, making a great opportunity to work the intersection of data engineering and applied AI.