Data Engineer Co-op: Cloud Pipelines & Analytics
Campbell Soup Company
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Job summary
Campbell Soup Company is seeking a motivated Operational Support Data Engineer (Co-op) to join our Enterprise Data & Analytics team in a hands‑on role. You will help build scalable data pipelines, ingest data from SAP and APIs, and prepare datasets for analytics, AI/ML, and reporting using Databricks, Snowflake, Azure, and Power BI.
Collaboration in an Agile environment will be essential. You will gain mentorship, exposure to CI/CD, and experience across supply chain, finance, and enterprise
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.
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.
Skills
Education
Tools
Job description
Campbell Soup Company is seeking a motivated Operational Support Data Engineer (Co-op) to join our Enterprise Data & Analytics team in a hands‑on role. You will help build scalable data pipelines, ingest data from SAP and APIs, and prepare datasets for analytics, AI/ML, and reporting using Databricks, Snowflake, Azure, and Power BI.
Collaboration in an Agile environment will be essential. You will gain mentorship, exposure to CI/CD, and experience across supply chain, finance, and enterprise
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