Posted:
8/20/2024, 5:00:00 PM
Location(s):
Champaign, Illinois, United States ⋅ Illinois, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
On-site
Are you ready for what’s next?
Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.
Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality:
Position Overview:
The Boating Intelligence (BI) Design Lab is seeking a highly motivated Data Engineer Intern to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines using Python to ingest and preprocess raw data from various sources. Your work will directly support the training and validation of machine learning models by ensuring that the data is clean, well-structured, and ready for analysis.
You will gain hands-on experience with data collected from vessels through on-water testing and work independently to implement data validation and monitoring processes to maintain data integrity. Additionally, you will document your processes and maintain organized, efficient code. This internship provides a unique opportunity to apply your skills in a practical setting and collaborate with multiple engineers across divisions.
At Brunswick, we have passion for our work and a distinct ability to deliver.
Essential Functions:
Develop, maintain and optimize the data pipelines and databases for model training and validation.
Collaborate with test engineers and technicians to create interfaces that can improve metadata collection and processing.
Process data from various sources such as raw files, cloud services, etc., into forms compatible with downstream data classes.
Implement methods for automating data ingestion and unit tests for validating pipeline.
Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.
Required Qualifications:
To be considered for the internship, candidates must have permanent US Work authorization
Current enrollment in an engineering or relevant Bachelor’s/Master’s program at the University of Illinois Urbana Champaign
Proficiency with Python programming
Familiarity with version control systems like Git
Preferred Qualifications:
Experience with cloud storage platforms (Azure preferred)
Experience with data processing libraries like Numpy, Pandas, etc.
Basic understanding of data modelling and machine learning concepts
Travel Requirements:
No travel is required.
Working Conditions:
Learning Opportunities: Our internships are designed to provide hands-on experience in a professional setting. You will work alongside experienced professionals and get a chance to apply your academic knowledge to real-world tasks.
Project Work: The work environment is supportive, collaborative, and conducive to learning. Interns typically work on specific projects or tasks that contribute to the organization’s goals. This may range from supporting larger projects to handling smaller, individual assignments.
Hours: Interns must work at least 8 hours in person at the lab each week during the fall and spring terms. You may work up to 20 hours maximum. During summer, interns are expected to work 40 hours in person at the lab each week.
Feedback and Performance Reviews: As an intern, you will receive feedback and performance reviews throughout your assignment. We value the importance for interns to understand their progress and areas for improvement.
Responsibility: Interns at BI Design Lab are expected to manage their own schedules, set goals, and seek feedback for their professional development.
Why Brunswick:
Whatever tomorrow brings, we’ll be at the leading edge. As the clear leader in the marine industry, we're committed to our values and supporting our exceptional people. We offer valuable benefits including a competitive 401(k) plan with company match, health benefits, paid time off, a robust Wellness Program, and much more. In addition, we’re proud of being recognized for making a splash with numerous awards!
Next is Now!
We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.
Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact [email protected] for support.
For more information about EEO laws, - click here
Brunswick and Workday Privacy Policies
Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: [email protected] or 866-278-6942.
All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or [email protected].
#Brunswick CorporationWebsite: http://www.brunswick.com/
Headquarter Location: Lake Forest, Illinois, United States
Employee Count: 10001+
Year Founded: 1845
IPO Status: Delisted
Industries: Boating ⋅ Fitness ⋅ Industrial ⋅ Lifestyle ⋅ Manufacturing