Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer – Agentic AI & ML Ops (Co-op)
USA - NJ - Camden
Open 5 months, first seen by us 151 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field
What you’ll work on
Full postingDevelop and support ETL/ELT pipelines and AI/ML workflows
Build and test AI agents and intelligent workflows
Ingest, transform, and orchestrate data using Python, PySpark, and SQL
Troubleshoot pipeline failures, performance issues, and data quality gaps
Create runbooks, workflows, and technical documentation
From the employer’s posting
Develop and support ETL/ELT pipelines and AI/ML workflows.
Build and test AI agents and intelligent workflows for automation and data access.
Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
Troubleshoot pipeline failures, performance issues, and data quality gaps.
Create runbooks, workflows, and technical documentation.
What you’ll bring
All qualificationsCore experience
- Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
- Strong communication and teamwork skills.
Preferred experience
- Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
- Experience with Python-based AI/ML projects or notebooks is a plus.
Qualification wording
Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
Strong communication and teamwork skills.
Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
Experience with Python-based AI/ML projects or notebooks is a plus.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 151 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 15, 2026151 days ago
- Recorded sightings
- 306
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Jun 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 151
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Campbell's’s usual: its jobs come down by about day 37.
From 13,630 similar postings that came down, and 9 of Campbell's’s. Coming down is not always a hire.
Campbell's is hiring
10 open jobs
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Power BI
- Snowflake
- PySpark
Where the posting names them
- 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.
- 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.
- 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.
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.
- 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.
Your next step
Complete your application on campbellsoup.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Campbell's
- People
- About 1,641 in 2025.Benefit plan filings (Form 5500)
- Company
- Listed as CPB.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
USA - NJ - Camden
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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.