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Internship Pepperidge Jobs (NOW HIRING)

Campbell's

Senior Packaging Engineer

Camden, NJ

... Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8 ... op or Internship experience. * Must be able to travel domestically and internationally ...

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How much do internship pepperidge jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for internship pepperidge in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an Internship at Pepperidge?

An Internship at Pepperidge is a temporary position designed for students or recent graduates to gain hands-on experience in the food manufacturing industry. Interns at Pepperidge, which is part of Pepperidge Farm (a subsidiary of Campbell Soup Company), may work in areas like engineering, marketing, quality assurance, or supply chain management. The internship provides an opportunity to apply academic knowledge to real-world challenges, learn from experienced professionals, and build skills relevant to future careers. Interns often work on specific projects, receive training, and may be considered for full-time employment after graduation.

What is the difference between Internship Pepperidge vs Marketing Intern?

AspectInternship PepperidgeMarketing Intern
Required CredentialsHigh school diploma or ongoing college courseworkHigh school diploma or college coursework in marketing or related fields
Work EnvironmentCorporate office, manufacturing facilities, retail storesOffice settings, marketing departments, promotional events
Employer & Industry UsagePepperidge Farm, food manufacturing industryVarious companies across consumer goods and marketing sectors
Common Search & ComparisonYesYes

Internship Pepperidge typically involves hands-on experience in food manufacturing and retail environments, focusing on operations, production, or sales. Marketing Internships concentrate on promotional activities, market research, and advertising within marketing departments. Both roles are designed for students or entry-level candidates seeking industry exposure, but they differ in focus and work setting.

What kinds of projects or responsibilities can I expect during an internship at Pepperidge Farm?

As an intern at Pepperidge Farm, you can expect to work on meaningful projects that contribute to your department's goals, such as assisting with product development, analyzing market trends, or supporting supply chain initiatives. Interns often collaborate with cross-functional teams, attend meetings, and present their findings or recommendations. You’ll receive guidance from experienced professionals and have opportunities to develop both technical and soft skills relevant to the food industry. The work environment is typically supportive, with mentors and supervisors providing feedback to help you learn and grow.

What are the key skills and qualifications needed to thrive as an Intern at Pepperidge, and why are they important?

To thrive as an Intern at Pepperidge, you generally need strong organizational skills, a willingness to learn, and relevant academic coursework or experience in areas such as business, food science, or marketing. Familiarity with Microsoft Office Suite and basic project management tools is typically expected, while some roles may benefit from knowledge of data analysis software. Strong communication, teamwork, and adaptability are essential soft skills for making a positive impression and contributing effectively. These skills and qualities are vital for maximizing learning opportunities, supporting team goals, and preparing for future professional roles.
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Internship Pepperidge jobs near you
Infographic showing various Internship Pepperidge job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 2% As Needed, 90% Full Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Modeling and Visualization Engineer Co-Op

Modeling and Visualization Engineer Co-Op

Campbell Soup Company

Hanover, PA • On-site

Full-time

Posted 18 days ago

Key responsibilities

  • Determine and optimize data ingestion modes in Power BI and improve SQL performance for Databricks using Power Query steps.

  • Work with cross-functional teams to build new enterprise reporting from Databricks and participate in Agile ceremonies.

  • Assist in documenting model schemas, API integrations, and AI governance standards.

Job description

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 Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
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.
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.

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.

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