Data Engineer Internship Jobs in Ridley Park, PA

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.Data Engineer / AI Engineer (Co-op)We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!Key ResponsibilitiesPrototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.AI Training: Provide feedback to enhance and optimize the output of agents.Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.Learning & Development OpportunitiesHands-on training in Generative AI and Agentic technologies.Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).QualificationsCurrent graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related fieldFoundational programming skills in Python and an understanding of 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.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.