NFP is seeking a Business Intelligence Data Engineering Intern to join our Enterprise Data & Analytics team for the summer. This internship provides an opportunity to work on real-world data engineering and analytics initiatives that support NFP’s national advisory business serving corporate clients.
Responsibilities
Assist in the development and maintenance of enterprise data models used across NFP’s reporting and analytics platforms
Support the implementation of data pipelines within Microsoft Fabric’s Medallion Architecture (Bronze, Silver, Gold layers)
Assist in building AI-powered data agents that support enterprise data discovery, metadata exploration, and natural-language interaction with governed datasets
Integrate AI agents with existing data platforms, SQL sources, and semantic models
Assist in building AI-powered data agents that support enterprise data discovery, metadata exploration, and natural-language interaction with governed datasets
Develop and run Python-based data processing workflows using notebooks
Assist with building and optimizing data ingestion and transformation pipelines
Support data validation, data quality monitoring, and documentation of data flows across the architecture
Collaborate on the design and development of an internal Chat Agent that enables advisors to quickly access relevant information
Help integrate enterprise data sources into the chat agent knowledge base to provide accurate responses to advisor inquiries
Contribute to improving advisor workflows by enabling faster access to product, client, and operational insights without navigating multiple systems
Help Validate Chat Agent response
Help Document the Agent internal working
Work closely with Data Architects, BI Engineers, Data Analysts, and Product Owners to deliver data-driven solutions
Participate in Agile team ceremonies such as sprint planning and standups
Document technical work and contribute to team knowledge repositories
Qualification
Required
Currently pursuing a degree/master in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical field
Proficiency in Python for scripting and application development
Understanding of generative AI and Large Language Model (LLM) concepts
Familiarity with structured enterprise data (SQL, tables, schemas)
Strong analytical skills and attention to detail
Ability to work effectively in a team-based, enterprise technology environment
Preferred
Exposure to agentic AI frameworks such as Semantic Kernel, LangChain, or similar
Familiarity with RAG architecture, embeddings, or vector search concepts
Experience or coursework involving cloud platforms (Azure preferred)
Awareness of BI concepts such as semantic models, metrics, or reporting layers
Interest in enterprise AI governance, security, and responsible AI practices
Benefits
Wealthspire is a leading wealth management, retirement advisory, and business management firm serving individuals, families, endowments, and institutions across the United States, Canada, and the United Kingdom.
