Cloud Data Engineer Co-op: Pipelines & Analytics

The Campbell's Company; Camden (NJ); Vor Ort; USD 28.000 - 44.000; Teilzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

PySpark

ETL/ELT

Data Modeling

Analytical thinking

Communication

Ausbildung

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

Tools

Databricks

Snowflake

Azure

ADLS

ADF

Power BI

Jobbeschreibung

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.