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Data Engineer - Integration & Automation Job Opening In GOLETA – Now Hiring RTX Corporation


Job description

**Date Posted:**

2025-09-29
**Country:**

United States of America
**Location:**

CA745: Goleta 75 Coromar Bldg B02 75 Coromar Drive Building B02, Goleta, CA, 93117 USA
**Position Role Type:**

Onsite
**U.S. Citizen, U.S. Person, or Immigration Status Requirements:**

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
**Security Clearance:**

None/Not Required

**Posting Title: Data Engineer - Integration & Automation**

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression.

We bring 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.

Our team solves tough, meaningful problems that create a safer, more secure world.

At Raytheon Vision Systems, we manufacture advanced infrared detectors and semiconductor materials that power mission-critical sensing technologies for defense and aerospace applications.

Our production environment is highly specialized, involving cleanroom operations, precision crystal growth, and rigorous metrology to ensure the highest standards of quality and performance.

As a Data Engineer Integration & Automation, you’ll play a pivotal role in modernizing the digital backbone of our manufacturing operations.

You’ll work hands-on in a fast-paced, cleanroom-based production setting where attention to detail, safety, and collaboration are essential.

Your work will support the fabrication and testing of infrared sensors by improving how data is collected, processed, and used—from automating MATLAB tools and report generation to migrating legacy systems and connecting equipment to our internal network.

Success in this role requires not only strong technical skills in software and data systems, but also the ability to work closely with engineers, technicians, and production staff in a controlled environment.

You’ll be expected to understand the urgency of production schedules, communicate clearly across disciplines, and contribute to continuous improvement efforts that enhance yield, reliability, and throughput.

**What You Will Do**

+ Apply statistical and mathematical methods to quantify outcomes, analyze process data and improve yield.
+ Migrate a FileMaker-based data collection system to a SQL Server-based architecture.
+ Automate MATLAB GUI workflows to increase data review throughput.
+ Develop tools to automate generation of reports using numeric, image, and text-based data.
+ Upgrade and integrate existing production tooling with internal network infrastructure.
+ Investigate and improve data generation practices to ensure consistency, validity, and relevance.
+ Develop a viable path to an automated, machine learning environment
+ Collaborate with scientists and engineers to understand production workflows and data needs.
+ Work in controlled areas, cleanrooms, laboratories etc.
+ Develop fundamental understanding of crystal growth and epitaxial processes

**Qualifications You Must Have**

+ Typically requires a degree in Science, Computer Science, Technology, Engineering or Mathematics or a (STEM) degree and a minimum of 5 years of prior relevant experience.
+ Experience in Data Analytics, system Integration, software development and/or Automation.

**Qualifications We Prefer**

+ SQL Server, FileMaker, and database migration strategies.
+ Scripting and automation (e.g., Python, Bash/Shell, PowerShell).
+ Report generation tools (e.g., Python, MATLAB, Excel macros).
+ Networking protocols and hardware/software integration.
+ Data validation and quality assurance methodologies.
+ Experience in production environment and multi-disciplinary engineering environment.
+ A motivated and self-starting individual who interacts well in a team environment that includes both company colleagues and customers.

**What We Offer**

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

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

**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 is an onsite role – Goleta, CA:

**Visit RVS** **:** **https://www.youtube.com/watch?v=0zixvFAC2kA**

**Explore Raytheon in Goleta** : **https://careers.rtx.com/global/en/raytheon-goleta-ca-location**

#LI-ONSITE

The salary range for this role is 90,000 USD - 182,000 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.


Required Skill Profession

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in GOLETA, United States, highlighting market share and opportunities for professionals in Data Engineer roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at RTX Corporation adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in GOLETA. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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RTX Corporation interview tips for Data Engineer   Integration & Automation

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