Intern: Summer 2026 - Diagnostic & Prognostic Health Management - Commerci at Raytheon

East Hartford, Connecticut, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

82000.0

Posted On

28 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS Services, CI/CD, Elasticsearch, OpenSearch, SQL, Apache Spark, Gas Turbine Engines, Aerospace Control Systems, Diagnostic Systems, Data Analysis, Signal Processing

Industry

Aviation and Aerospace Component Manufacturing

Description

Date Posted: Country: United States of America Location: PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. 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. Pratt & Whitney is working to once again transform the future of flight—designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do Control & Diagnostic Systems (CDS) is a dynamic engineering organization focused on the development and certification of military, commercial and industrial gas turbine engine control, and diagnostic systems. CDS is responsible for all aspects of Pratt & Whitney engine control and diagnostic system development including requirements analysis & definition, system & software architecture, algorithm design, and product software design, verification & validation. We integrate the control and diagnostic system design across other engine system modules and with the air vehicles and provide support throughout the complete engine product life cycle. The Diagnostics, Prognostics & Health Management (DPHM) discipline within CDS is responsible for the development and deployment of cutting-edge data acquisition systems, diagnostics, prognostics, and analytics. This includes Usage Based Lifing (UBL) for P&W engines and components and deploying state of the art development tools & methodologies. In this role, we are seeking an analytics and data engineer to be a member of DPHM’s Commercial Analytics and Data Engineering team. The team develops the systems that ingest aircraft and flight data, the tools to access and analyze it, and the analytics which provide critical results and alerts to keep the fleet flying as smoothly as possible. The team provides a solid framework for downstream engineers, data scientists, and analysts to work in so that they can focus on analyzing the data and solving physical problems, instead of becoming mired in data wrangling. Collaborating closely with downstream teams is essential to developing the best next generation tools, algorithms, and analytics for commercial applications. The position is based at the P&W East Hartford facility and is an onsite role. Analytics development using statistical analysis, physics-based models, and artificial intelligence efforts applied to operational fleet data. Deploying algorithms to customer facing systems to drive engine maintenance and improve fleet health. Integrating external or new datasets into existing data pipelines. Developing analytics & performing fleetwide analysis to support onboard FADEC software improvements. Continuously monitoring and testing the system to ensure optimized performance. What You Will Learn Engineering Interns at Pratt & Whitney work on challenging, meaningful, and impactful projects across our business. Our intern program seeks to help you develop an understanding of the aerospace industry and learn about our company and its operations. Qualifications You Must Have Enrolled in a degree program in Science, Technology, Engineering or Mathematics (STEM) or related field Minimum Cumulative GPA of 3.0 Qualifications We Prefer Proficiency with Python, AWS Services, CI/CD, Elasticsearch / OpenSearch, SQL, Apache Spark Knowledge of gas turbine engines and their operation. Knowledge of and exposure to aerospace control and diagnostic systems. Familiarity with modern data analysis and signal processing techniques. What We Offer Relocation will be offered for those who qualify. On the job training provided. Learn More & Apply Now! This position is classified as onsite. Please ensure this role type (defined below) is appropriate for your needs before applying to this role. Candidates will learn more about role type and current site status throughout the recruiting process. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms

Responsibilities

The intern will be part of the DPHM’s Commercial Analytics and Data Engineering team, focusing on developing systems that ingest and analyze aircraft and flight data. Responsibilities include analytics development, deploying algorithms, and integrating datasets into existing data pipelines.