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 - Operational Support (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, or related fields
What you’ll work on
Full postingDevelop and support scalable data pipelines and ETL/ELT workflows
Ingest data from SAP, APIs, databases, flat files and cloud platforms
Build transformations using Python, PySpark and SQL
Track pipeline health and resolve failures and data quality issues
Support incident triage, root cause analysis and Power BI datasets
From the employer’s posting
Develop and support scalable data pipelines and ETL/ELT workflows.
Ingest data from SAP, APIs, databases, flat files, and cloud platforms.
Build transformations using Python, PySpark, and SQL.
Track pipeline health and resolve failures, performance, and data quality issues.
Support incident triage, root cause analysis, and operational monitoring.
What you’ll bring
All qualificationsCore experience
- Understanding of ETL/ELT, data modeling, or STTM concepts.
- Strong communication and teamwork skills.
Preferred experience
- Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus.
Qualification wording
Understanding of ETL/ELT, data modeling, or STTM concepts.
Strong communication and teamwork skills.
Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI 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
- SAP
- Snowflake
- PySpark
Where the posting names them
- Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms. - Data Transformation: Build transformations using Python, PySpark, and SQL. - Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics.
- Basic knowledge of SQL and relational databases. - Programming in Python and/or PySpark. - Understanding of ETL/ELT, data modeling, or STTM concepts.
- Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields. - Basic knowledge of SQL and relational databases. - Programming in Python and/or PySpark.
We are seeking a motivated and curious Data Engineer to join our Enterprise Data & Analytics team. This co-op provides hands-on experience building and supporting cloud-based data platforms and pipelines that power enterprise analytics, reporting, and AI/ML solutions. You will work with tools such as Databricks, Snowflake, Azure, ADLS, ADF, Power BI, and SAP integrations in an Agile environment. If you are passionate about data, cloud technologies, and solving complex problems, we want to hear from you.
Learning & Development Opportunities - Hands-on experience with Databricks, Snowflake, Azure, ADLS, and ADF. - Exposure to ETL/ELT, data modeling, orchestration, and CI/CD.
- Understanding of ETL/ELT, data modeling, or STTM concepts. - Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus. - Exposure to AI/ML, CI/CD, or DevOps is beneficial.
- Data Operations: Support incident triage, root cause analysis, and operational monitoring. - BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions. - DevOps & CI/CD: Assist with deployments, testing, and automation.
- Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows. - Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms. - Data Transformation: Build transformations using Python, PySpark, and SQL.
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 (Co-op)
We are seeking a motivated and curious Data Engineer to join our Enterprise Data & Analytics team. This co-op provides hands-on experience building and supporting cloud-based data platforms and pipelines that power enterprise analytics, reporting, and AI/ML solutions.
You will work with tools such as Databricks, Snowflake, Azure, ADLS, ADF, Power BI, and SAP integrations in an Agile environment.
If you are passionate about data, cloud technologies, and solving complex problems, we want to hear from you.
Key Responsibilities
- Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows.
- Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms.
- Data Transformation: Build transformations using Python, PySpark, and SQL.
- Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics.
- Support Analytics & AI/ML: Prepare datasets for reporting, AI/ML, and advanced analytics.
- Monitor & Troubleshoot: Track pipeline health and resolve failures, performance, and data quality issues.
- Data Operations: Support incident triage, root cause analysis, and operational monitoring.
- BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions.
- DevOps & CI/CD: Assist with deployments, testing, and automation.
- Agile Delivery: Participate in sprint planning, stand-ups, and retrospectives.
- Documentation: Create runbooks, designs, and technical documentation.
- Automation & AI: Explore automation and AI-driven improvements.
- 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.
Learning & Development Opportunities
- Hands-on experience with Databricks, Snowflake, Azure, ADLS, and ADF.
- Exposure to ETL/ELT, data modeling, orchestration, and CI/CD.
- Mentorship from Data, Platform, and AI/ML Engineers.
- Experience working in Agile/Scrum and DevOps environments.
- Exposure to enterprise use cases across supply chain, finance, reporting, and AI/ML.
Qualifications
- Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields.
- Basic knowledge of SQL and relational databases.
- Programming in Python and/or PySpark.
- Understanding of ETL/ELT, data modeling, or STTM concepts.
- Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus.
- Exposure to AI/ML, CI/CD, or DevOps is beneficial.
- Strong problem-solving and analytical skills.
- Strong communication and teamwork skills.
- Self-motivated with a willingness to learn.
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
- Self-motivated with a willingness to learn. 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.