# Data Engineer - Agentic AI & ML Ops - Co-op at Campbell Soup

- Company: [Campbell Soup](https://www.campbells.com)
- Location: Camden, NJ
- Type: Internship · Internship
- Posted: 2026-06-13
- Apply: https://campbellsoup.wd5.myworkdayjobs.com/en-US/externalcareers_globalsite/job/USA---NJ---Camden/Data-Engineer---Agentic-AI---ML-Ops--Co-op-_Req-65843
- Page: https://newgrad.ai/jobs/data-engineer-agentic-ai-ml-ops-co-op-0f8dad4e

## Summary by newgrad.ai

What you'll do:

- Create and maintain data processing workflows and machine learning operations on cloud infrastructure.
- Move, process, and manage data streams using Python, PySpark, and SQL queries.
- Construct and validate autonomous AI systems designed for task automation.
- Refine language model interactions and generative AI processes through prompt optimization.
- Identify and resolve data pipeline issues and quality concerns.

What they're looking for:

- Currently enrolled in Computer Science, Data Engineering, Data Science, AI/ML, or comparable program.
- Proficiency with SQL, Python/PySpark, data pipeline concepts, and API integration.
- Demonstrated analytical capabilities, problem-solving ability, and strong interpersonal skills.
- Prior exposure to Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or version control systems a plus.

## Posting

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.

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.

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.

From Campbell Soup's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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