Rockefeller Capital Management · 2 months ago
AI/ML Data Engineer
Rockefeller Capital Management is a leading independent financial advisory services firm established in 2018. They are seeking an AI/ML Data Engineer to design and implement scalable data solutions, support business needs with reliable data delivery, and contribute to machine learning workflows.
Financial Services
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and data models using Microsoft Fabric, Databricks, or Snowflake
Build and optimize lakehouse and warehouse architectures to support analytics and reporting needs
Implement data governance practices including data quality, cataloging, lineage, and access controls
Integrate Azure data services (Data Factory, Synapse, Functions, Logic Apps) into workflows
Support Power BI integration for reporting and visualization across platforms
Contribute to CI/CD pipelines and version control for reliable deployments
Collaborate with analytics and business teams to deliver data-driven solutions
Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and scalability
Apply machine learning workflows using Azure ML or open-source frameworks (e.g., scikit-learn)
Stay current with emerging technologies in data engineering and AI
Qualification
Required
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)
Experience with Spark and Delta Lake for scalable data processing
Hands-on with Microsoft Fabric, Databricks, or Snowflake platforms
Integration of Power BI for data visualization and reporting
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
Adaptability and eagerness to learn emerging technologies
Ownership and accountability in a mid-level developer capacity
Preferred
Databricks: Spark (PySpark/Scala), Delta Lake, notebooks
Microsoft Fabric: Lakehouse, Warehouse, Data Engineering pipelines, Power BI integration
Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and ML services (Azure ML, Databricks ML)
Familiarity with Azure cloud services, DevOps practices, and CI/CD pipelines
Benefits
Health coverage
Vacation time
Paid leave
Retirement plan
Discretionary bonus
Company
Rockefeller Capital Management
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.
H1B Sponsorship
Rockefeller Capital Management has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (6)
2023 (2)
2022 (2)
2021 (3)
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-01-03
InvestmentNews
2023-08-17
2023-06-21
Company data provided by crunchbase