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AI Automations Date Engineer / Data Scientist
- RTX Corporation (Hartford, CT)
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Date Posted:
2025-10-30
Country:
United States of America
Location:
UTCT1: Corp - CT - Remote Remote Location, Remote City, CT, 06101 USA
Position Role Type:
Remote
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons.
For a complete definition of “U.S. Person” go here.
https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance:
None/Not Required
RTX Corporation 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 Systems, Pratt & Whitney, and Raytheon. Its 185,000 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, VA.
The following position is to join our RTX Enterprise Services team:
As a Data Engineer / Data Scientist at Raytheon Technologies, you will play a critical role in designing, building, and optimizing data solutions that drive business insights, operational efficiency, and technological innovation. You will be responsible for developing and maintaining robust data pipelines, implementing advanced machine learning models, and delivering actionable business intelligence solutions. This role demands a blend of technical expertise and strategic vision, with opportunities to explore emerging technologies, including generative AI, to support RTX's mission to protect and connect the world.
What You Will Do:
+ Design and implement scalable, reliable, and efficient end-to-end data pipelines and workflows using tools like Snowflake and Matillion.
+ Collaborate with business owners to identify key data needs, align them with RTX objectives, and translate them into actionable technical solutions.
+ Evaluate industry trends and emerging technologies, including generative AI, to recommend and implement innovative data strategies.
+ Demonstrate expertise in data integration, transformation, and modeling using tools such as Snowflake and Matillion.
+ Develop impactful dashboards and reports using Power BI and Tableau to support data-driven decision-making across the organization.
+ Leverage Databricks for advanced data processing, machine learning workflows, and big data analytics.
+ Build and deploy machine learning models and statistical analyses to address complex business challenges and deliver measurable outcomes.
+ Stay current with advancements in AI and ML technologies, including generative AI, to identify opportunities for innovation in RTX’s data landscape.
+ Collaborate with cross-functional teams, including architecture and cloud operations, to align data solutions with organizational priorities and policies.
+ Maintain governance standards, ensure compliance with RTX data security protocols, and effectively engage with stakeholders to communicate progress and resolve challenges.
Qualifications You Must Have:
+ Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, and 5+ years of experience in data engineering, data science, or a related field.
+ Proficiency in Snowflake, Matillion, BI Tools ( Power BI, Tableau, or similar) and Data Science Platforms (Databricks).
+ Strong programming skills in Python, SQL, or other relevant languages.
+ Hands-on experience in building and deploying machine learning models.
+ Strong analytical and problem-solving skills with a business-oriented mindset.
Qualifications We Prefer:
+ Master’s degree in a relevant field.
+ Knowledge or experience with generative AI frameworks and tools (e.g., LLMs, RAG).
+ Familiarity with cloud platforms such as Azure or AWS.
+ Strong communication and collaboration skills to work effectively with cross-functional teams.
+ SAFe or similar certifications in agile teams or devops
What We Offer:
Whether you’re just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
Work Location:
Remote
_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 82,000 USD - 164,000 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 (http://www.rtx.com/privacy/Job-Applicant-Privacy-Notice) to read the Policy and Terms
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.
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