Cloud Data Engineer Co-op: Pipelines & Analytics

The Campbell's Company

Camden (NJ)

On-site

USD 28,000 - 44,000

Part time

6 days ago
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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

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.

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