Digital Transformation Engineering Intern- Summer 2027

Position Summary 

The Shape Corp student engineering program provides students with hands-on experience in a dynamic manufacturing environment. The Digital Transformation Engineering Intern will support projects that use data, automation, connected systems, and digital tools to improve manufacturing and business processes. This opportunity is designed to help an entry-level engineering student apply technical and analytical skills to real-world challenges while gaining exposure to Industry 4.0 technologies and cross-functional project work. 

Essential Job Functions 

• Assist with identifying, documenting, and analyzing manufacturing or business processes that may benefit from digitization, automation, or improved data visibility.
• Support the development, testing, and implementation of digital solutions such as dashboards, workflow automations, data collection tools, and connected manufacturing applications.
• Collect, clean, organize, and analyze data from production equipment, manufacturing systems, spreadsheets, databases, or other business sources.
• Create reports and visualizations that help teams monitor performance, identify trends, and make data-informed decisions.
• Assist with system integration, data validation, user acceptance testing, and documentation for new or enhanced digital tools.
• Support projects involving manufacturing execution systems, industrial data platforms, sensors, machine connectivity, or other Industry 4.0 technologies.
• Partner with Engineering, Operations, Quality, Maintenance, IT, and other teams to understand requirements and translate business needs into practical technical solutions.
• Participate in continuous improvement activities focused on efficiency, reliability, standardization, and user experience.
• Develop or update process maps, technical documentation, user guides, work instructions, and training materials.
• Summarize findings and present project updates, recommendations, or demonstrated solutions to relevant stakeholders.
• Follow applicable cybersecurity, data governance, safety, and engineering standards while performing assigned work.
• Perform additional duties as assigned by the supervisor, not otherwise specified in this position description.

Education & Experience 

• Currently pursuing a bachelor's degree from an accredited program in Engineering, Engineering Technology, Computer Science, Data Science, Information Systems, Industrial Engineering, Manufacturing Engineering, Automation Engineering, or a closely related field.
• 3.0 GPA or higher on a 4.0 scale.
• Coursework or project experience involving programming, data analysis, automation, databases, systems integration, process improvement, or digital manufacturing.
• Proficient with Microsoft Office applications, particularly Excel, Word, PowerPoint, and Outlook.
• Able to work independently while also contributing effectively within a cross-functional team.
• Strong written and verbal communication skills.
• Strong analytical, technical, and problem-solving skills with attention to detail.

Preferred Qualifications 

• Exposure to Microsoft Power BI, Power Apps, Power Automate, Python, SQL, or similar data and automation tools through coursework, projects, or prior work experience.
• Familiarity with manufacturing systems, industrial automation, programmable logic controllers, sensors, machine connectivity, or manufacturing execution systems.
• Basic understanding of data visualization, databases, application development, APIs, or system integration concepts.
• Experience mapping processes, gathering user requirements, testing solutions, or documenting technical workflows.
• Interest in applying digital technologies and continuous improvement methods within an automotive or advanced manufacturing environment.