Data Engineer - Operational Support (Co-op)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Join the Enterprise Data & Analytics team to build and support cloud-based data pipelines that power enterprise analytics, reporting, and AI/ML solutions. You’ll ingest and integrate data from SAP, APIs, databases, and flat files; transform and model data using Python, PySpark, SQL, and semantic layers; monitor pipeline health; and collaborate with engineers on ETL/ELT, CI/CD, and Power BI reporting in an Agile environment.

Location: United States

Workplace: Onsite

Employment Type: Internship

Job Function: Product Management

Seniority: Intern level

Key Responsibilities

•Build and support scalable data pipelines and ETL/ELT workflows.
•Ingest data from SAP, APIs, databases, and flat files; integrate across cloud platforms.
•Create data transformations using Python, PySpark, and SQL.
•Support data modeling, semantic layers, and STTM for analytics and reporting.
•Monitor and troubleshoot pipeline health, performance, and data quality; assist with incident triage and root-cause analysis.

Key Requirements

•Pursuing a degree in Computer Science, Data Engineering, Data Science, or a related field.
•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.

Education:

Skills:Problem-solvingAnalytical skillsCommunicationTeamworkSelf-motivated

Tech Stack:PythonPySparkSQLETLELTDatabricksSnowflakeAzureADLSADFPower BISAPAPIsCI/CDAgileScrum

Company Brief

Campbell Soup

Industry: Food Production

Website

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Campbell Soup

1 month ago

Data Engineer - Operational Support (Co-op)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Internship

Job Function: Product Management

Seniority: Intern level

Key Responsibilities

•Build and support scalable data pipelines and ETL/ELT workflows.
•Ingest data from SAP, APIs, databases, and flat files; integrate across cloud platforms.
•Create data transformations using Python, PySpark, and SQL.
•Support data modeling, semantic layers, and STTM for analytics and reporting.
•Monitor and troubleshoot pipeline health, performance, and data quality; assist with incident triage and root-cause analysis.

Key Requirements

•Pursuing a degree in Computer Science, Data Engineering, Data Science, or a related field.
•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.

Education:

Skills:Problem-solvingAnalytical skillsCommunicationTeamworkSelf-motivated

Tech Stack:PythonPySparkSQLETLELTDatabricksSnowflakeAzureADLSADFPower BISAPAPIsCI/CDAgileScrum

Company Brief

Campbell Soup

Industry: Food Production

Website