Data Engineer - Operational Support (Co-op)

The Campbell's Company

Hours: Full time
Where: USA - NJ - Camden
Posted: Sep 2

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.

What you'd do

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.

What they want

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.

Starts: 2026-06-12