Data Engineer

RTX (Raytheon); United States; Remote; USD 120,000 - 180,000; Full time

Job summary

RTX is seeking a highly skilled Data Engineer to join the Digital Technology, Data, Analytics & AI team. You will design and build data pipelines, model data, and collaborate with data scientists to enable AI-driven analytics in aerospace and defense contexts. This remote-facing role requires engagement with stakeholders across the U.S.

and adherence to security standards. The position emphasizes scalable data solutions, data governance, and documentation, with a focus on reliability and

Qualifications

• 8+ years of data engineering experience with AI-driven data analysis.
• Proven ETL/ELT design using Matillion and SQL optimization.
• Strong data modeling and architecture skills.
• Experience with SAP Hana, BW, Infocubes, and OData.
• U.S. Citizen and ability to obtain security clearance.

Responsibilities

• Design, develop, and maintain scalable data workflows and pipelines with Matillion, Databricks and HVR.
• Collaborate with data scientists and analysts to translate requirements.
• Perform data modeling to support business needs.
• Write and optimize SQL for data analysis and transformations.
• Ensure data security and compliance with regulations.
• Document processes and governance standards.

Skills

SQL

Python

Data modeling

ETL/ELT

Data governance

Education

University degree or higher

Tools

Matillion

Databricks

HVR

SAP Hana

SAP BW

OData

Job description

Date Posted: 2026-10-20

Country: United States of America

Location: US-AZ-REMOTE

Position Role Type: Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type: DoD Clearance: Secret

Security Clearance Status: Active and existing security clearance required after day 1

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.

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.

Raytheon is seeking a highly skilled and motivated Data Engineer to join our Digital Technology, Data, Analytics & AI (DAAI) team. As a Data Engineer, you will be responsible for designing and developing data solutions including data ingest and consumption workflows, transformation, modelling, and resulting analytics. You will work closely with data scientists, analysts, and other stakeholders to ensure the value, reliability, and trustworthiness of our data solutions. Your expertise as a data engineer will help us leverage data to drive business impact decision-making and enhance our aerospace and defense capabilities.

As part of our commitment to maintaining a secure hiring process, candidates will need to complete a first-round HireVue video screening for this role.

What You Will Do:

• Design, develop, optimize and maintain scalable and efficient data workflows and pipelines in Matillion leveraging AI-driven automation to process data from various sources using tools such as Matillion, HVR and Databricks.
• Collaborate with data scientists, analysts, architects and other stakeholders to understand data requirements and translate them into technical solutions.
• Perform data modeling to design and structure databases that support business requirements.
• Write and optimize SQL queries for data analysis, transformation and troubleshooting.
• Ensure data security and compliance with industry standards and regulations.
• Adhere to and advocate established best practices, design patterns, and data governance mandates.
• Document data processes, workflows, and technical specifications.

Qualifications You Must Have:

Typically requires a University Degree or equivalent experience and a minimum of 8 years of prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience.

• 5+ years experience as a data engineer performing AI driven data analysis, data modeling, data transformation.
• Strong experience developing and optimizing ETL/ELT (Extract, Transform, Load) processes to ensure data quality and integrity with tools such as Matillion.
• Strong data modeling and architecture skills
• Experience collaborating with business data owners to understand their business data needs and translate them into clear, actionable, and detailed data requirements.
• Experience with SAP Hana, BW, Multipliers, Infocubes, and OData.
• U.S. Citizen - The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

• Experience developing AI to explore, understand, and validate data.
• Strong proficiency in SQL experience with relational databases.
• Solid experience with Python for data transformation.
• Experience with Snowflake and SAP for data warehousing.
• Proficiency in data integration tools such as Matillion.
• Proficiency in API integration (REST) and associated exchange security patterns.
• Familiarity with data governance and data security practices.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Experience in the aerospace and defense industry.
• Experience with cloud platforms, services and tools.
• Excellent communication and interpersonal skills.
• Familiarity with data catalogs and data quality protocols.
• Demonstrated ability to design and implement data solutions that meet strict security, compliance, and governance standards.
• Understanding of data protection requirements in U.S. government cloud environments (FedRAMP, ITAR, etc.).

What We Offer

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At R