Engineer Intern
Job in
Old Town, Penobscot County, Maine, 04468, USA
Listed on 2026-06-02
Listing for:
Johnson Outdoors Inc.
Apprenticeship/Internship
position Listed on 2026-06-02
Job specializations:
-
Engineering
Quality Engineering, Process Engineer, Manufacturing Engineer, Electrical Engineering
Job Description & How to Apply Below
* 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.
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