Data Engineer
Campbell Soup Company
Join Campbell Soup Company as a Data Engineer for their AI & ML Ops team, focusing on data engineering and automation.
Last checked on September 15, 2026. We may earn a commission when you click through.
Data Engineer
Campbell Soup Company
Updated 1 day agoYou'll be redirected to talent.com
This co-op position is great for students or early-career professionals eager to gain experience in data engineering and AI. However, the absence of salary details may deter some applicants who prioritize compensation clarity.
About this role
Join Campbell Soup Company as a Data Engineer for their AI & ML Ops team, focusing on data engineering and automation.
About the Company
Campbell Soup Company is a leading global food company known for its soup, snacks, and other packaged food products.
Key Highlights
- ✓ Opportunity to work with AI and automation technologies
- ✓ Part of a collaborative Enterprise Data & Analytics team
- ✓ Hands-on experience in data engineering
- ✓ Ideal for those passionate about machine learning
💡 Honest Take: While the position offers a chance to dive into AI and data engineering, be prepared for a potentially demanding learning curve. The lack of disclosed salary information can make it hard to gauge if the role meets your financial expectations.
Pros
- ✓ Hands-on experience in a reputable company
- ✓ Focus on cutting-edge AI technologies
- ✓ Collaborative work environment
Cons
- ✗ Salary not disclosed
- ✗ Limited remote work options
- ✗ Potentially steep learning curve
Best For: Individuals passionate about data science and looking for practical experience in a corporate setting.
Watch Out: The lack of salary transparency for those seeking clear compensation expectations.
You'll be redirected to talent.com
What Customers Say
Current and past co-op students report a supportive work environment but mention the need for flexibility in learning approaches.
Expert Review
Campbell Soup Company's Data Engineer co-op role offers engage with AI and automation projects. This position is ideally suited for students or recent graduates, providing hands-on experience within a dynamic team. The focus on data engineering and machine learning can significantly enhance your skill set.
One aspect to consider is the potential learning curve associated with the role. While the experience can be it may come with high expectations and demanding tasks. the advertised position lacks salary information, which could lead to uncertainties about financial compensation.
For those passionate about data science, this role presents a into the industry. However, candidates should be prepared for a structured work environment and the possibility of limited flexibility in work arrangements. Overall, this co-op role is individuals who are ready to embrace challenges and learn in a corporate atmosphere.
You might also like
Related Articles
Debunking Common Myths About Manufacturing Jobs
Think you know everything about factory work? These myths might surprise you. Learn the realities and find the right job for you.
Security Jobs in New York: Top Picks for This April
Discover top security job opportunities in New York this spring. From budget-friendly picks to premium positions, here's where to look and what to avoid.
Where the Best Project Management Jobs Pay Off in April 2026
Discover which project management roles offer the best salaries this spring and how they compare. From architectural millwork to SaaS management, find your next career move with our top picks.
Receptionist vs Controller: Which Finance Job Fits You in Phoenix?
Phoenix is buzzing with finance jobs this April. Compare Receptionist and Controller roles to find the best fit for your career goals.
Why These Admin Jobs Are the Best for Remote Work in April
Explore top admin roles perfect for those seeking remote work flexibility this spring. From part-time research panels to receptionist gigs, find out which roles offer the best pay and perks.
Smart Hiring: Top Teaching Jobs in Phoenix This Spring
Discover the best teaching jobs in Phoenix this April, with insights on pay, flexibility, and work-life balance. Whether you're just starting or looking for a change, we've got you covered.