Hollister Co.
Cloud Data Engineering Intern
Embark on a hands-on journey in cloud data and analytics as our Summer 2026 Cloud Data Engineering Intern. In this internship based in Libertyville, IL, you will join Hollister's Data Platforms & AI team to help build and optimize the next generation of our cloud data architecture. You'll work with a modern tech stack Microsoft Azure, Microsoft Fabric, SAP Datasphere, and Power BI to integrate and transform enterprise data into actionable insights. From day one, you will contribute to key data initiatives: connecting data from core systems (like SAP) into our Azure analytics environment, developing robust data pipelines, and creating impactful visualizations to drive business decisions. This role offers a blend of engineering and analytics: you'll get to write data transformations and also see the "why" behind the numbers by collaborating with business teams using the dashboards you help create. Both undergraduate and master's students who are passionate about cloud data technologies are encouraged to apply. For this opportunity, the expectation is to be onsite a minimum of 4 days per week in the Libertyville, IL office. Responsibilities include: Build & Manage Data Pipelines: Design, develop, and test data pipelines for integrating data from various sources into our Azure-based data platform. You will work with tools like Azure Data Factory or Fabric's data integration features to ingest and transform data, ensuring pipelines are reliable and efficient. Data Transformation & Modeling: Assist in cleansing and transforming raw data into analytics-ready datasets. This could involve writing SQL queries or Python scripts to combine and aggregate data, and helping to define data models for our cloud data warehouse. Dashboard & Report Development: Collaborate with data analysts to develop and refine Power BI dashboards and reports for various business teams. You'll connect Power BI to cloud datasets, create data visualizations, and iteratively improve them based on user feedback. Support Data Architecture Initiatives: Work closely with senior engineers on cloud data architecture projects. This might include contributing to the design of our Microsoft Fabric environment e.g., setting up OneLake storage, configuring workspaces, or evaluating new Fabric components for enterprise use. Data Quality & Governance: Help implement data quality checks and governance practices. For example, you may assist in monitoring data pipeline runs and validating the data outputs, or in setting up rules/alerts for data freshness and accuracy. Collaboration & Troubleshooting: Participate in daily team stand-ups and project meetings to align on tasks. Work alongside seasoned data engineers and architects, both locally and in our global offices, to troubleshoot issues and optimize solutions. Research & Innovation: Stay curious and bring new ideas! You will be encouraged to research emerging tools or techniques in cloud data engineering. This could mean exploring functionalities of SAP Datasphere, or evaluating a third-party data tool. Documentation & Training: Maintain clear documentation of your work, including pipeline designs, data workflows, and user guides for dashboards. Contribute to our team knowledge base so that others can reuse your solutions. Requirements include: Education: Current enrollment in a Bachelor's or Master's program in Computer Science, Data Engineering, Information Systems, or a related field. Foundational Skills: A solid understanding of databases and data concepts. Familiarity with SQL is required. Programming & Scripting: Experience with at least one programming or scripting language used in data handling, preferably Python or SQL-based scripting. Data Tools Knowledge: Exposure to data integration or analysis tools. Analytical Mindset: Strong analytical and problem-solving skills. Communication & Teamwork: Good communication skills, both written and verbal. Collaboration is key. Preferred Skills (Bonus): Cloud Platform Experience: Hands-on experience with cloud services, especially Microsoft Azure. Data Engineering Projects: Prior project or internship experience in data engineering or analytics. Knowledge of Microsoft Fabric & Power BI: Familiarity with Microsoft's Fabric platform or Power BI. SAP or ERP Data Understanding: Any exposure to SAP systems or enterprise resource planning data is a plus. Data Modeling & Analysis: Comfort with statistical analysis or data modeling concepts. Attention to Detail: A knack for detail in working with data. Enthusiasm for Learning: A demonstrated eagerness to learn new technologies and concepts. The anticipated base pay range for this position is $23.00 - $30.00 per hr. The actual salary varies based on applicant's education, experience and skills. Hollister Incorporated is an independent, employee-owned company that develops, manufactures and markets healthcare products worldwide. The company spearheads the advancement of innovative products for ostomy care, continence care and critical care, and also creates educational support materials for patients and healthcare professionals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Embark on a hands-on journey in cloud data and analytics as our Summer 2026 Cloud Data Engineering Intern. In this internship based in Libertyville, IL, you will join Hollister's Data Platforms & AI team to help build and optimize the next generation of our cloud data architecture. You'll work with a modern tech stack Microsoft Azure, Microsoft Fabric, SAP Datasphere, and Power BI to integrate and transform enterprise data into actionable insights. From day one, you will contribute to key data initiatives: connecting data from core systems (like SAP) into our Azure analytics environment, developing robust data pipelines, and creating impactful visualizations to drive business decisions. This role offers a blend of engineering and analytics: you'll get to write data transformations and also see the "why" behind the numbers by collaborating with business teams using the dashboards you help create. Both undergraduate and master's students who are passionate about cloud data technologies are encouraged to apply. For this opportunity, the expectation is to be onsite a minimum of 4 days per week in the Libertyville, IL office. Responsibilities include: Build & Manage Data Pipelines: Design, develop, and test data pipelines for integrating data from various sources into our Azure-based data platform. You will work with tools like Azure Data Factory or Fabric's data integration features to ingest and transform data, ensuring pipelines are reliable and efficient. Data Transformation & Modeling: Assist in cleansing and transforming raw data into analytics-ready datasets. This could involve writing SQL queries or Python scripts to combine and aggregate data, and helping to define data models for our cloud data warehouse. Dashboard & Report Development: Collaborate with data analysts to develop and refine Power BI dashboards and reports for various business teams. You'll connect Power BI to cloud datasets, create data visualizations, and iteratively improve them based on user feedback. Support Data Architecture Initiatives: Work closely with senior engineers on cloud data architecture projects. This might include contributing to the design of our Microsoft Fabric environment e.g., setting up OneLake storage, configuring workspaces, or evaluating new Fabric components for enterprise use. Data Quality & Governance: Help implement data quality checks and governance practices. For example, you may assist in monitoring data pipeline runs and validating the data outputs, or in setting up rules/alerts for data freshness and accuracy. Collaboration & Troubleshooting: Participate in daily team stand-ups and project meetings to align on tasks. Work alongside seasoned data engineers and architects, both locally and in our global offices, to troubleshoot issues and optimize solutions. Research & Innovation: Stay curious and bring new ideas! You will be encouraged to research emerging tools or techniques in cloud data engineering. This could mean exploring functionalities of SAP Datasphere, or evaluating a third-party data tool. Documentation & Training: Maintain clear documentation of your work, including pipeline designs, data workflows, and user guides for dashboards. Contribute to our team knowledge base so that others can reuse your solutions. Requirements include: Education: Current enrollment in a Bachelor's or Master's program in Computer Science, Data Engineering, Information Systems, or a related field. Foundational Skills: A solid understanding of databases and data concepts. Familiarity with SQL is required. Programming & Scripting: Experience with at least one programming or scripting language used in data handling, preferably Python or SQL-based scripting. Data Tools Knowledge: Exposure to data integration or analysis tools. Analytical Mindset: Strong analytical and problem-solving skills. Communication & Teamwork: Good communication skills, both written and verbal. Collaboration is key. Preferred Skills (Bonus): Cloud Platform Experience: Hands-on experience with cloud services, especially Microsoft Azure. Data Engineering Projects: Prior project or internship experience in data engineering or analytics. Knowledge of Microsoft Fabric & Power BI: Familiarity with Microsoft's Fabric platform or Power BI. SAP or ERP Data Understanding: Any exposure to SAP systems or enterprise resource planning data is a plus. Data Modeling & Analysis: Comfort with statistical analysis or data modeling concepts. Attention to Detail: A knack for detail in working with data. Enthusiasm for Learning: A demonstrated eagerness to learn new technologies and concepts. The anticipated base pay range for this position is $23.00 - $30.00 per hr. The actual salary varies based on applicant's education, experience and skills. Hollister Incorporated is an independent, employee-owned company that develops, manufactures and markets healthcare products worldwide. The company spearheads the advancement of innovative products for ostomy care, continence care and critical care, and also creates educational support materials for patients and healthcare professionals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.