Co-op-Data Engineering-Reedsville, PA-July-December 2027
About the role
Are you interested in a co-op opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) degree to participate in 6 month co-op opportunities at our site in Reedsville, PA. Through this role you will gain meaningful, hands-on experience working for a HealthTech company. Supporting the R&D Reliability team by developing data engineering tools and support R&D with improvements in data analysis and reporting. Lead or support project teams as needed. Support CONQ database transition and improvements. Migrate data and write new scripts to allow the transducer reliability team to have the data they need consistently.
You're The Right Fit If
- Pursuing a Bachelor's degree in one of the following areas of study: Data Science, Data Analytics, Electrical Engineering, Computer Science
- Experience with T-SQL, Python, SAP, Microsoft Power Apps, SAP-ME, Object Oriented Programming
- Problem-solving methodology (i.e., Shainin Red-X, DMAIC, PDCA), manufacturing process knowledge
- Experience with a regulated work environment, Project Management
- Self-starter, Driven to improve, Big picture thinking, Takes initiative
How We Work Together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. This is an office role.
Physical, Cognitive and Environmental job requirements
You must be able to successfully perform the following minimum requirements with or without accommodation for this position.
Pay
The hourly pay range for this position is $25.00 to $29.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.