Co-op-Data Engineer-Reedsville, PA-June-December 2026 at Philips

Brown Township, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

29.0

Posted On

18 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Analytics, Electrical Engineering, Computer Science, T-SQL, Python, SAP, Microsoft Power Apps, SAP-ME, Object Oriented Programming, Problem-Solving Methodology, Manufacturing Process Knowledge, Regulated Work Environment, Project Management, Self-Starter, Big Picture Thinking

Industry

Hospitals and Health Care

Description

Job Title Co-op-Data Engineer-Reedsville, PA-June-December 2026 Job Description Are you interested in an 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 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. You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position. 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. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an office role About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. Learn more about our culture. Philips Transparency Details 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. Details about our benefits can be found here. 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. Additional Information US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Reedsville. This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

Responsibilities

Support the R&D Reliability team by developing data engineering tools and conducting data analysis and reporting. Lead or support project teams as needed and assist with the CONQ database transition and improvements.