Engineer Intern

Engineer Intern Johnson Outdoors Inc. United States, Maine, Old Town 125 Gilman Falls Avenue (Show on map) May 20, 2026 Description Job Duties Analyze historical hull wall thickness data to identify trends, high-risk areas, and key sources of variation. Develop data visualizations and summary reports (e.g., control charts, histograms, heatmaps) to communicate findings to Quality and Production teams. Design experiments (DOE) and structured trials to test hypotheses related to thickness variation and/or weakness; support execution on the manufacturing floor. Partner with Engineering, Production, and Quality to define critical-to-quality measurement locations, sampling plans, and acceptance criteria. Help develop and improve tools and workflows for capturing wall thickness data during production (templates, digital forms, databases, or dashboards). Support measurement system and data integrity improvements (gauge setup, data entry checks, basic MSA concepts). Participate in problem-solving activities (root cause analysis, corrective actions) to reduce thickness-related defects and improve process capability.

Minimum Qualifications:

Currently pursuing a Bachelor's degree in Mechanical, Industrial, Manufacturing, Chemical Engineering, Materials Science, or a related Engineering/Engineering Technology program. Strong interest in quality engineering, manufacturing processes, and continuous improvement. Comfortable working with data: organizing datasets, performing basic statistical analysis, and drawing conclusions from evidence. Proficient in Microsoft Excel (pivot tables, charts); familiarity with Minitab, JMP, Python, or similar tools is a plus. Ability to work on the shop floor and learn measurement techniques (e.g., ultrasonic thickness gage or similar) with attention to detail. Strong communication and organizational skills; able to document work clearly and present results to cross-functional teams. Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

Coursework or experience with SPC/control charts, capability analysis, and basic Design of Experiments (DOE). Exposure to root cause analysis methods (5-Why, fishbone) and corrective/preventive action. Experience with data collection systems or dashboards (SharePoint/Forms, Power BI, SQL) and improving data integrity. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.