RTX Logo

RTX

Data Engineer

Posted 2 Days Ago
Remote
4 Locations
108K-205K Annually
Senior level
Remote
4 Locations
108K-205K Annually
Senior level
Designs, develops, optimizes, and maintains scalable data workflows and pipelines using Matillion, HVR, and Databricks. Performs data transformation, modeling, SQL development, analytics, and troubleshooting while ensuring data quality, security, governance, and compliance. Collaborates with data scientists, analysts, architects, and business data owners to translate requirements into technical solutions and documents data processes. The role requires substantial data engineering experience, U.S. citizenship, and an active DoD Secret clearance.
The summary above was generated by AI

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 RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

 

Learn More & Apply Now!

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

 

Remote: 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. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories).

 

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.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms

RTX Boston, Massachusetts, USA Office

Boston, United States

RTX Cambridge, Massachusetts, USA Office

Cambridge, United States

RTX Somerville, Massachusetts, USA Office

Somerville, United States

RTX Sudbury, Massachusetts, USA Office

Sudbury, United States

RTX Waltham, Massachusetts, USA Office

Waltham, MA, United States

RTX Woburn, Massachusetts, USA Office

Woburn, United States

Similar Jobs

2 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.
Top Skills: Apache AirflowCi/CdCypressDatabricksDbtDelta LakeGitPlaywrightPythonSodaSpark SqlSQL
17 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
99K-167K Annually
Mid level
99K-167K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.
Top Skills: Apache AirflowAWSAzureDagsterData LakeData ModelingData PipelinesDatabricksDelta LakeETLGCPGitGitPrefectPysparkPythonRest ApisSparksqlSQL
2 Days Ago
Easy Apply
Remote
United States
Easy Apply
173K-255K Annually
Senior level
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Own and deliver highly available, low-latency backend identity systems supporting consumer onboarding, authentication, and verification. Lead quarterly team goals, guide engineers through ambiguous problems, collaborate with product and design partners, monitor system reliability, improve engineering standards, support on-call operations, and mentor team members. The role requires designing and launching distributed systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes.
Top Skills: AWSKotlinKubernetesMySQLPython

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account