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Data Engineer - Operational Support (Co-op)Campbell Soup Company • Camden, New Jersey, United States
Postuler Maintenant
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Data Engineer - Operational Support (Co-op)

Campbell Soup Company
  • US
    Camden, New Jersey, United States
  • US
    Camden, New Jersey, United States
Postuler Maintenant

À propos

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. Key Responsibilities Build and support scalable data pipelines and ETL/ELT workflows. Ingest data from SAP, APIs, databases, flat files, and cloud platforms. Transform data using Python, PySpark, and SQL. Support STTM, semantic layers, and data modeling for analytics. Prepare datasets for reporting, AI/ML, and advanced analytics. Track pipeline health and resolve failures, performance, and data quality issues. Support incident triage, root cause analysis, and operational monitoring. Assist with Power BI datasets, semantic models, and reporting solutions. Assist with deployments, testing, and automation (DevOps & CI/CD). Participate in sprint planning, stand‑ups, and retrospectives. Create runbooks, designs, and technical documentation. Explore automation and AI‑driven improvements. Investigate and troubleshoot platform health, data refreshes, workloads, and integrations. Support issue resolution, partnering with senior engineers on root‑cause analysis and documentation. Learning & Development Opportunities Hands‑on experience with Databricks, Snowflake, Azure, ADLS, and ADF; exposure to ETL/ELT, data modeling, orchestration, CI/CD, and enterprise use cases across supply chain, finance, reporting, and AI/ML; mentorship from Data, Platform, and AI/ML Engineers; experience in Agile/Scrum and DevOps. 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. Equal Opportunity Statement 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.
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  • Camden, New Jersey, United States

Compétences linguistiques

  • English
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