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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. If you are passionate about data, cloud technologies, and solving complex problems, we want to hear from you.
Job Responsibility
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
Requirements
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
Nice to have
Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus
Exposure to AI/ML, CI/CD, or DevOps is beneficial
What we offer
Medical
Dental
Short and long-term disability
AD&D
Life insurance (for individual, families, and domestic partners)
Matching 401(k) plan with immediate vesting
Unlimited sick time
Paid time off
Holiday pay
Free access to fitness center (if in WHQ)
Access to on-site day care (operated by Bright Horizons)
Company store
Campbell’s Cares program matches employee donations and/or volunteer activity up to $1,500 annually