Modeling and Visualization Engineer Co-Op
Job in
Hanover, York County, Pennsylvania, 17333, USA
Listed on 2026-10-09
Listing for:
Campbell Soup Company
Apprenticeship/Internship
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
BI Modeling and Visualization Engineer (mostly Power BI)
We are seeking a motivated and detail-oriented Modeling and Visualization Engineer to join our team. This co-op / internship offers hands-on experience reporting from a very involved data warehouse during a transition from Snowflake to Databricks. You will have the opportunity to learn and work with cutting-edge technologies within our modern Databricks environment. If you are passionate about the future of BI reporting and eager to build "actionable metrics" in reporting, we want to hear from you!
Key Responsibilities Model Performance and Tuning:
Determine where Direct Query or Import mode is best in each table ingestion in Power Query. Be able to view and improve SQL generated for Databricks to run using Power Query steps in Power BI Desktop.
Collaborate with Agile Teams:
Work with cross-functional 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:
Research and test new or more efficient options the improve thru put of reporting development and valication.
Document AI Architectures:
Help document model schemas, API integrations, and AI governance standards.
Learning & Development Opportunities Hands-on training in Power BI, Databricks and Snowflaketechnologies.
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).Platform Support & Administration:
Assist in day-to-day administration of analytics and AI platforms such as Databricks, Snowflake, Power BI Service, and other SaaS solutions.
Monitoring & Troubleshooting:
Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
Incident & Problem Resolution:
Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.
Access & User Management:
Help manage users, roles, permissions, and access requests while following security and governance standards.
Cloud & SaaS Exposure:
Gain practical exposure to cloud architecture concepts (primarily Microsoft Azure) and understand how SaaS platforms integrate with cloud services.
Documentation & Runbooks:
Assist in creating and maintaining support documentation, operational guides, and standard operating procedures.
Collaboration & Learning:
Work closely with BI, AI, and Platform teams in an Agile environment and participate in team meetings and knowledge-sharing sessions.
What You Will Learn Fundamentals of cloud and SaaS platform administration
How enterprise analytics platforms are operated and supported
Troubleshooting and problem-solving techniques for real-world production systems
Basic monitoring, access management, and platform governance concepts
How analytics, BI, and AI workloads run on modern cloud platforms
Qualifications
Current graduate student in Computer Science, Artificial Intelligence, Mathematics, or a related field.
Foundational programming skills in writing moderately…
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