Data Engineer Operational Support Coop

The Campbell's Company; Camden (NJ); On-site; USD 28,000 - 44,000; Part time

Job summary

Campbell's is seeking a motivated Operational Support Data Engineer co-op to join our Enterprise Data & Analytics team in New Jersey. You will gain hands-on experience building cloud-based data platforms and pipelines powering analytics, reporting, and AI/ML solutions.

You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, and SAP integrations in an Agile setting. Learn from mentors while contributing to enterprise use cases across supply chain and finance.

Qualifications

• Pursuing a degree in CS, data engineering, data science, or related field.
• Solid SQL basics and relational databases.
• Python and/or PySpark programming experience.
• Understanding of ETL/ELT, data modeling or STTM concepts.
• Databricks, Snowflake, Azure, ADF, ADLS, or Power BI familiarity is a plus.
• Exposure to AI/ML, CI/CD, or DevOps is beneficial.
• Strong problem solving and analytical skills.
• Good communication and teamwork.

Responsibilities

• Build and support scalable data pipelines and ETL/ELT workflows.
• Ingest data from SAP, APIs, databases, and files.
• Create data transformations using Python, PySpark, and SQL.
• Support analytics, AI/ML, and reporting readiness.
• Monitor pipelines and troubleshoot data quality issues.
• Assist with CI/CD, deployments, and documentation.

Skills

Python

SQL

PySpark

ETL/ELT

Data Modeling

Analytical thinking

Communication

Education

Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields

Tools

Databricks

Snowflake

Azure

ADLS

ADF

Power BI

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 Michael Angelo's, Pace, Pacific Foods, Prego, Rao's Homemade, Swanson, and V8. In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder's of Hanover. 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. Why Campbell's... Benefits begin on day one and include medical, dental, short and long-term disability, AD & D, and life insurance (for individual, families, and domestic partners). Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting. Campbell's offers unlimited sick time along with paid time off and holiday pay. If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store. Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually. Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.

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.

Individual base pay depends on work location and additional factors such as experience, job‑related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

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.