Senior Data Engineer (Remote)

Date Posted:
2026-01-12
Country:
United States of America
Location:
UT6: 4 Farm Springs 4 Farm Springs Road, Farmington, CT, 06032 USA
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
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: ;br>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:

Position Overview:

We are seeking a Senior Data Engineer to join RTX in the Enterprise Services Data organization, AI Foundations team. You will play an active role in bringing cutting edge AI, ML, and data capabilities to RTX. We provide capabilities to practitioners across the enterprise used to solve a vast variety of aerospace challenges through:

• Working with product leadership to maintain technical capability roadmaps
• Serving as technical stakeholders for RTX's AI platform
• Evaluating state of the art vendors and external capabilities to recommend for platform availability
• Building enablers, products, and services

What You Will Do:

• Design, build, and maintain scalable data pipelines that support batch and real-time data processing across structured and unstructured data sources.
• Develop and optimize ETL/ELT workflows to ensure efficient data ingestion, transformation, and delivery into data warehouses, data lakes, or lakehouse environments.
• Collaborate closely with data architecture, analytics, ML engineering, and product teams to understand data requirements and translate them into reliable technical solutions.
• Implement data quality checks, data validation logic, and automated monitoring to ensure accuracy, completeness, and reliability of datasets.
• Work with cloud platforms (e.g., Azure and AWS) and distributed computing frameworks (e.g., Spark) to build high-performance data systems.
• Design and maintain metadata, lineage, and documentation that provides transparency into the data lifecycle and supports governance & compliance needs.
• Optimize data storage, compute, and pipeline performance to reduce cost and increase efficiency.
• Implement security and access control standards for sensitive data in alignment with organizational policies and compliance regulations.
• Troubleshoot production data issues, perform root cause analysis, and drive permanent fixes rather than temporary workarounds.
• Continuously evaluate new tools, technologies, and patterns to improve data engineering capabilities and align with future scalability requirements.

Qualifications You Must Have:

• Bachelor's degree in a STEM discipline with 5+ years of professional experience in data engineering, software engineering, or a similar role, with a strong focus on building and maintaining robust data pipelines.
• 5+ years in programming languages, particularly Python, for building and automating data pipelines and analytics data stores.
• Experience with Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) processes and tools like Matillion or other replication tool like HVR (Fivetran) or QLIK Replicate.
• 3+ years relevant experience with cloud computing platforms (AWS and/or Azure.)
• Knowledge of data warehousing concepts, data modeling, and schema design.
• Understanding of data governance, lineage, quality frameworks, and metadata management.
• Must be authorized to work in the U.S. without sponsorship now or in the future. RTX will not offer sponsorship for this position.
• 25% travel required within USA.

Qualifications We Prefer:

• A flexible and patient mindset, interested in working on a variety of multi-disciplinary challenges with varying stakeholders, partners, domains, and toolsets.
• Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.
• Experience building products that use Large Language Models (LLMs) or LLM APIs.
• Hands-on experience implementing production ready enterprise grade GenAI data solutions.
• Experience with Git, Github, or similar version control system, Jira, Confluence, and Agile development.
• Effective communication and collaboration, especially across development and operations and business stakeholders.
• Work with stakeholders to gather, prioritize, and document functional and technical needs before translating them into software solutions.
• Prioritize tasks and manage multiple streams of work efficiently.

What We Offer:

Unique to our team:

• A welcoming team that works together and supports one another.
• Flexible schedule (Core hours with optional 9/80, 4x10, or custom).
• A wide variety of technical opportunities in a cutting-edge landscape.

RTX Benefits Highlights:

• Obtain professional certificates and degrees through the RTX employee scholar program.
• Comprehensive benefits package, including medical, dental, vision, life, short term disability, and long term disability benefits.
• Paid time off including holidays, sick time, and parental leave.
• 401(k) with matching.
• Rotational programs.
• Reward and recognition programs.

Learn More & Apply Now!

Work Location: Remote

Please consider the following role type definition as you apply for this role:

Remote: This position is currently designated as remote. However, the successful candidate will be required to work from one of the 50 U.S. states (excluding U.S. Territories). Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed.

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 107,500 USD - 204,500 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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