Data Engineer II - Onsite at RTX Canada

Oklahoma City, Oklahoma, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

131100.0

Posted On

03 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Python, SQL, Spark SQL, Pyspark, Databricks, Data mesh, Data transformation, Cloud data warehouse, Power BI, Statistical analysis, Git, GitHub, Agile methodologies, Kanban

Industry

Aviation and Aerospace Component Manufacturing

Description

Date Posted: 2026-05-02 Country: United States of America Location: US-OK-OKLAHOMA CITY-8120SC ~ 8120 S Air Depot Blvd ~ SUSTAINMENT CTR, Dock 18 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 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. You will be an integral part of Pratt & Whitney’s Military Engines (ME) Sustainment Operational Excellence, Digital Transformation and Analytics (DT&A), Data Engineering & Analytics team. This team supports the aftermarket maintenance and overhaul of modules/engines for the F117, F119, and F135 programs across the Pratt & Whitney Global Depot Network (GDO) and is key to the future of the Military Engines organization, the continued success of P&W, and the national defense of the United States. We are looking for a Data Engineer II to advance the digital and data capability of the Military Engines Global Depot Network organization. You will be working on exciting new technologies like cloud and open-source tools among others, and be responsible for cleaning, standardizing, transforming, and configuring data products within our emerging data mesh. What You Will Do: Create and maintain scripts written in Spark SQL or Pyspark in Databricks Notebooks. Also, work with SMEs to understand complex datasets for next generation data products and data visualizations to create data mesh tables. Develop scalable and sustainable data product transformations that curate, clean and store data efficiently; perform statistical analysis to quantify completeness and validity; perform bug fixes and apply enhancements to the models when the need arises. Ensure high performance and reliability of data transformation processes and pipelines. Collaborate cross-functionally to gather insights, refine requirements, and ensure alignment between product goals and team efforts. Document data processes, logic, and data sources to ensure transparency and knowledge sharing as well as support the overall team with any ad-hoc data related tasks. Work to convert our existing data visualizations in Power BI to use Databricks instead of Azure Synapse. Keep up to date with technologies and use advanced cloud data warehouse and data transformation techniques to build innovative solutions. Qualifications You Must Have: A Bachelor’ Degree in Science, Technology, Engineering or Mathematics (STEM) with 2+ years of experience in the use of SQL and/or Python to transform, clean, and integrate data from a variety of source pipelines. U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Having an Employment Authorization Document (EAD or Form I-766), commonly known as a work permit, will not meet the requirements of this position. Ability to travel up to 10% domestic and international. Qualifications We Prefer: Experience with transformation tools such as dbt, Databricks pipelines, or relevant tools such as SSIS, ADF, or Matillion and demonstrated experience with Git/GitHub; experience working in cloud data warehouses like Databricks. Familiarity with agile methodologies and Kanban boards. Self-motivated, team player with good communication skills and the ability to focus on results and successfully manage multiple tasks/projects. An astute individual, with the ability to build strong cross-functional relationships; excited at the prospect of developing and implementing new data products that add organizational value & improve decision making capabilities. Business experience with Aerospace or other heavy manufacturing industry. Demonstrated understanding of data mesh design principles and data engineering best practices as well as an understanding of ER Diagrams for data modeling. What We Offer: · Benefits · Relocation Package Learn More & Apply Now! What is my role type? 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 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. Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility. 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.

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Responsibilities

The Data Engineer II will create and maintain data transformation scripts using Spark SQL and Pyspark to curate and clean data within an emerging data mesh. They will also collaborate cross-functionally to refine requirements and migrate existing Power BI visualizations to Databricks.