Date Posted:
2026-06-29
Country:
United States of America
Location:
US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC
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 Type:
None/Not Required
Security Clearance Status:
Not Required
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.
Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.
At Pratt & Whitney, you'll be part of an evolving, globally diverse company that's moving fast to shape the future of aviation. Customers all over the world depend on our technology and the people behind it. As part of the team at Pratt & Whitney, you'll help answer today's challenges in powered flight while shaping and supporting tomorrow's solutions.
The Hollow Fan Blade (HFB) Unit of CSMC is hiring a Manufacturing Engineer to support the monitoring and implementation of Multivariate Statistical Process Controls (MSPC) and automated Functional Assessments (FA).
What You Will Do:
The selected candidate will be responsible for Working with Sr manufacturing engineers and the OpX Team to identify key variables that represent the performance of a process and for creating controls that alert process owners of changes in process capability.
The candidate will also work to develop skills necessary to be able to connect changes in component geometry to its functional performance via correlation and emulation of aerodynamic & structural physics responses.
You will be a leader in root cause investigations addressing challenges with low First Pass Yield (FPY), high Cost of Poor Quality (COPQ), and low throughput.
The selected candidate will utilize their Data Science and Statistical expertise in gathering & analyzing large datasets, deploy inductive & deductive investigative tools, and recommend solutions.
As a Manufacturing Engineer, the candidate's skills in operations optimization and data analytics will also be used to support other functions such as Continuous Improvement, Waste Reduction (Lean), and general business performance.
To execute the desired process improvement, the candidate will be responsible for project planning, collaborating with various engineering disciplines, and influencing management to implement the desired solutions.
Duties and Responsibilities:
Develop and Monitor Multivariate Process Controls using both traditional SPC rules and custom methods.
Lead root cause investigations and work with process owners to execute solution implementation.
Relate Key Process Inputs to Process Outputs with tools like PFMEAs or Characteristics Matrices.
Identify relationships between Part Geometry and Part Performance with Designed Experiments (DOE) and statistical modeling.
Perform ad-hoc data analysis requests to support business improvement objectives.
Assemble, Lead and Present Monthly MCAB (Manufacturing Corrective action Board) Meetings
Ensure Business Maintains Compliance to the requirements of deviations, MSPC and FA.
Qualifications You Must Have:
Bachelor's degree in engineering (manufacturing, mechanical, industrial, aerospace, Data Science or related field.)
2+ Years of related experience
Proficiency in mathematical/statistical software like Minitab, JMP, or MATLAB.
Experience with databases/data warehouses and constructing queries
Strong communication and influencing skills
Preferred Qualifications:
Six Sigma Green Belt or Red-X Apprentice experience
Strong data analytics & statistical modeling skills with experience in Principal Component Analysis, Linear Regression, Partial Least Squares, and Gaussian Process Modeling.
Database/data warehouse and query experience with Databricks, SQL, and Python preferred.
Demonstrated ability to lead root cause investigations, propose corrective actions & technical solutions, and execute on the implementation of those actions.
Please ensure the role @type defined below is appropriate for your needs before applying to this role.
This position is classified as:
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.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 68,900 USD - 131,100 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.
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Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
