Modeling and Visualization Engineer Co-Op

Key Responsibilities

• Determine where DirectQuery or Import mode is best in each table ingestion in Power Query.
• View and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop.
• Collaborate with Agile Teams to build out new enterprise reporting (from Databricks) that aligns with trusted existing reporting (from Snowflake) and participate in Agile ceremonies.
• Explore External Tools to research and test new or more efficient options to improve throughput of reporting development and validation.
• Document AI Architectures to help document model schemas, API integrations, and AI governance standards.

Learning & Development Opportunities

• Hands-on training in Power BI, Databricks and Snowflake technologies.
• Mentorship from senior Data Engineers and IT Business Analysts working on enterprise-scale deployments.
• Practical experience building on Cloud/SaaS reporting infrastructure (e.g. Power BI Service, Azure, Databricks, Snowflake).
• Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.
• Monitor and troubleshoot platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
• Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.
• Help manage users, roles, permissions, and access requests while following security and governance standards.
• Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.
• Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.
• Collaborate & learn closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions.

Qualifications

• Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field.
• Foundational programming skills in writing moderately complex SQL.
• Familiarity with AI concepts through coursework or personal projects.
• Excellent problem-solving skills and a high degree of technical curiosity.
• Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

Requirements

• Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing reports (Power BI and MicroStrategy / Strategy are widely used).
• Ability to write and understand SQL.
• Optional: Ability to use Excel for validating results from reporting.
• Optional: Any advanced methods that use AI Agentic… options for transitioning logic in Power BI Semantic Models from one database (e.g. Snowflake) to another (Databricks).

Company Commitment

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.