Since 1869 we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Michael Angelo's, Pace, Pacific Foods, Prego, Rao's Homemade, Swanson, and V8. In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder's of Hanover. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us. Why Campbell's... Benefits begin on day one and include medical, dental, short and long-term disability, AD &D, and life insurance (for individual, families, and domestic partners). Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting. Campbell's offers unlimited sick time along with paid time off and holiday pay. If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store. Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually. Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

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 DirectQuery 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 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 vs. Optional:

• Need: Power BI experience in creating Semantic Models that reference a data warehouse and then validating those to the source or spot checking against existing report (Power BI and MicroStrategy / Strategy are widely used).
• Need: 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)
• Currently pursuing an undergraduate or graduate degree in Computer Science, Information Systems, IT, Engineering, or a related field.
• Strong interest in cloud technologies, SaaS platforms, and system operations.
• Willingness to learn, troubleshoot issues, and dig into how platforms work.
• Analytical mindset with good problem-solving skills.
• Strong communication skills and ability to document learnings clearly.
• Self-motivated, curious, and comfortable working in a team-based environment.

Helpful / Preferred Experience

• Coursework or hands-on exposure to Microsoft Azure.
• Azure Fundamentals (AZ-900) course completion or certification is helpful (not required).
• Familiarity with cloud computing concepts (compute, storage, networking, identity).
• Basic knowledge of SQL, scripting, or data concepts.
• Exposure to analytics or BI tools (Power BI, Tableau, Databricks, Snowflake) is a plus but not required.

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

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.