Data Science Engineering Co-Op (January 2027)

Date Posted: 2026-10-21

 Country: United States of America

 Location: US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110

 Position Role Type: Hybrid U.

S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access certain necessary systems.

Security Clearance: None/Not Required Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry?

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world.

Discover opportunities to make a difference at RTX. At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems.

With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can.

Together, we push the boundaries of known science and find new ways to connect and protect our world. Immerse yourself in a Monday-Friday Co-Op session, that will run from January to June (it is expected students will take this time off from coursework to fully engage with this working mentorship opportunity).

This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.

What You Will Do: • Learn about end-to-end data processes including data collection, curation, analysis, and visualization. • Participate in the development and optimization of data pipelines to transform raw data into actionable insights.

• Support data quality checks to ensure accuracy and reliability of the data. • Write and maintain scripts/macros in Python to support data analytics processes.

• Collaborate with cross-functional teams to gather insights, refine requirements, and align product goals with team efforts. • Participate in Agile sprints.

• Support investigations and continuous improvement initiatives. • Prepare technical documentation, presentations, and reports to effectively communicate insights and recommendations to both technical and non-technical audiences.

• English (read, write, speak) is required when communicating with customers, co-workers, or supervisors who only speak English Qualifications You Must Have : • Requires a High School Diploma or equivalent and students must be pursuing a bachelor’s or advanced degree in Data Science or Computer Science Engineering.

• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract Qualifications We Prefer : • Pursuing bachelor’s degree in computer science or related fields • Demonstrated experience leveraging strong communication, teaming and results oriented skills.

• Prior experience communicating across teams and platforms to successfully collaborate on projects/goals. • Experience leveraging excellent written and verbal communication skills to deliver successful programs.

Learn More & Apply Now! In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment.

This position is classified: Hybrid. Employees who are working in Hybrid roles will work regularly both onsite and offsite. This means that responsibilities of the job need to be performed onsite in Aguadilla, Puerto Rico on a regular basis with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class.

RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.