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Data Engineer – Agentic AI & ML Ops (Co-op)

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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.

Operational Support Data Engineer – Agentic AI & ML Ops (Co-op)

  • We are seeking a motivated and curious Data Engineer – Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
  • You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
  • If you are passionate about data engineering, AI, and automation, we want to hear from you.

 

Key Responsibilities

  • Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
  • Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
  • Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
  • LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
  • AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
  • Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
  • Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
  • MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
  • Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
  • Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation & Automation: Create runbooks, workflows, and technical documentation.

 

Learning & Development Opportunities

  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
  • Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
  • Experience working with AI agents, prompt engineering, and workflow orchestration.
  • Mentorship from Data, AI/ML, and Platform Engineers.
  • Experience in Agile/Scrum and DevOps/MLOps environments.

 

Qualifications

  • Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
  • Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
  • Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
  • Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
  • Experience with Python-based AI/ML projects or notebooks is a plus.
  • Strong analytical and problem-solving skills.
  • Strong communication and teamwork skills.

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.
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We’re proud to be a purpose-driven company. Our goal is simple: to connect people through food they love. It’s the reason we innovate, grow, and show up every day because food brings people together.

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