Principal Software Engineer / Data Engineer (Onsite)
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 27, 2026. RTX scores A on the Alion truth index.
Date Posted:
2026-08-27Country:
United States of AmericaLocation:
US-TX-RICHARDSON-C17 ~ 1717 Cityline Dr ~ CITYLINE C17Position Role Type:
OnsiteU.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearanceSecurity Clearance Type:
TS/SCI - CurrentSecurity Clearance Status:
Active and existing security clearance required on day 1At 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.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.
RTX is seeking a Data Engineer for an immediate position onsite in our Richardson, TX or Dulles, VA office. The Data Engineer will be a key contributor to our program, responsible for designing semantic data models, ontologies, and knowledge graphs that serve as the connective tissue between raw operational data and AI-ready intelligence.
What You Will Do
- Design, build, and maintain enterprise ontologies and knowledge graphs using standards such as OWL, RDF, and SPARQL.
- Collaborate with domain experts, data engineers, and business stakeholders to capture and formalize business concepts, relationships, and rules.
- Develop and manage taxonomies, controlled vocabularies, and semantic metadata schemas across operational and business domains.
- Integrate ontological structures with enterprise data platforms, AI/ML pipelines, and analytics environments.
- Partner with AI/ML Engineers and data scientists to ensure ontology structures support downstream model training, feature engineering, and inference pipelines.
- Define and enforce data governance standards for entity definitions, lineage tracking, and metadata management across enterprise platforms.
- Monitor ontology performance and usage patterns; proactively identify gaps and drive continuous improvement.
- Support integration of ontology layers with enterprise data products, dashboards, and reporting tools.
- Evaluate and implement ontology management tools and platforms, ensuring scalability and interoperability.
- Translate complex technical concepts into clear documentation for both technical and non-technical audiences.
- Stay current with advancements in knowledge representation, semantic web technologies, and AI/ML techniques.
Qualifications You Must Have
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of relevant experience.
- Experience in using OWL, RDF, RDFS, SPARQL, and related W3C semantic web standards.
- Experience with ontology development tools such as Protégé, TopBraid Composer, or similar.
- Experience in developing conceptual, logical, and physical data models, as well as canonical data designs
- Experience with graph databases (e.g., Stardog, Neo4j, Amazon Neptune, Azure Cosmos DB for Gremlin) and graph query languages.
- Experience collaborating in cross-functional Agile or DevOps environments.
- Active and transferable TS/SCI U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Qualifications We Prefer
- Experience with data fabric, data mesh, Lakehouse architectures, and cloud platforms (Azure, AWS).
- Background supporting digital thread, digital twin, and AI/ML programs.
- Experience mentoring or leading data modeling teams.
- Knowledge of linked data principles and experience publishing or consuming linked datasets.
- Exposure to ML/AI pipelines and practical experience enhancing them through semantic enrichment.
- Experience with LLM-grounded knowledge graphs or retrieval-augmented generation (RAG) pipelines.
- Excellent analytical thinking with ability to translate ambiguous business requirements into formal semantic models.
- Demonstrated ability to collaborate with cross-functional teams to model complex business domains.
- Strong skills in SQL, SPARQL, Cypher, and relational/NoSQL databases.
- Strong understanding of data governance, metadata management, and master data management (MDM) principles.
What We Offer
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Relocation Eligible - Relocation assistance is available.
Learn More & Apply Now!
Please consider the following role type definition as you apply for this role. 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.
This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm
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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