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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Campbell Soup Company - **Location:** Camden, NJ, United States (Remote available) - **Experience:** Experienced - **Salary:** $110,900.0 - $152,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Code Review, Information Engineering, Data Governance, Python (Programming Language), Meta-Data Management, Metadata Repositories, Power BI, Cloud Services, Standard Sql, Azure Data Lake, Software Deployment, Workflow Management Systems, Azure Data Factory, Snowflake, Pyspark, Information Technology, Data Management, Data Pipelines, Databricks - **Published:** August 7, 2026 - **Apply:** https://campbellsoup.wd5.myworkdayjobs.com/ExternalCareers_GlobalSite/job/USA---NJ---Camden/Data-Engineer_Req-67260-1 ## About the Role * Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related field. * 4+ years of experience in data engineering, analytics engineering, or a related role. * Hands-on experience or strong working knowledge of Azure Databricks, including Python and/or PySpark and Databricks SQL. * Familiarity with Azure Data Factory and Azure Data Lake Storage (ADLS). * Working knowledge of SQL for data querying and transformation. * Exposure to Business Intelligence tools such as Power BI. * Strong analytical and problem-solving skills with attention to detail. * Ability to learn quickly, apply feedback, and work effectively in a collaborative team environment. * Clear written and verbal communication skills. Nice to Have… (Preferred) * Experience with CI/CD pipelines in Azure DevOps. * Exposure to data governance, metadata management, or data catalogs. * Familiarity with enterprise scheduling or orchestration tools (e.g., Stonebranch or similar). * Databricks or Azure certifications (completed or in progress). * Exposure to Snowflake or other cloud data platforms ## Description As a Data Engineer, you will be an integral part of the DA & AI team, supporting the design, development, and operation of enterprise data solutions on the Azure Databricks platform. In this role, you will work closely with senior data engineers, solution architects, and business partners to build reliable data pipelines, contribute to analytics-ready data products, and grow your technical skills in a collaborative, learning-focused environment. This position is ideal for an early-career engineer looking to develop hands-on experience with modern cloud data platforms at enterprise scale., * Collaborate with solution architects and senior data engineers to understand data solution designs supporting projects and continuous improvement initiatives. * Partner with business stakeholders and analysts to understand data and analytics needs, translating them into technical tasks with guidance. * Design, build, and maintain data pipelines in Azure Databricks for ingestion, transformation, and validation of enterprise data. * Integrate data from multiple source systems into the Azure data lakehouse using established frameworks and best practices. * Contribute to technical documentation, including data flow diagrams, pipeline documentation, and runbooks. * Participate in code reviews, learning and applying development standards and best practices. * Support software deployments across development, test, and production environments using CI/CD pipelines. * Assist with data quality, governance, and cataloging activities in collaboration with Security and Data Governance teams. * Help transition completed solutions to support teams with appropriate documentation. * Continuously learn new tools, patterns, and technologies in the data and analytics ecosystem. * Use Azure DevOps (ADO) to manage work items, track progress, and collaborate with team members. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)