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Software Engineer - Data & Engineering Applications
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- $104,100 to $162,900 USD / year
…Kenworth, Peterbilt, and DAF trucks, is seeking a talented Software Engineer - Data & Engineering Applications to join the Engineering Solutions team at the PACCAR Technical Center in Mount…
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Paccar Winch Inc.

Software Engineer - Data & Engineering Applications

Mount Vernon, WA, United States

$104,100 to $162,900 USD / year

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Job details

Pay: $104,100 to $162,900 USD / year
Experience: 7+ years of post-baccalaureate professional experience developing and supporting software applications or data engineering solutions.
Posting language: English
Posted: Nov 6, 2026

Original job description

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Date: Nov 6, 2026

Location: Mount Vernon, WA, US, 98273-9671

Company: PACCAR

PACCAR, a global manufacturer of heavy-duty transportation equipment, including Kenworth, Peterbilt, and DAF trucks, is seeking a talented Software Engineer - Data & Engineering Applications to join the Engineering Solutions team at the PACCAR Technical Center in Mount Vernon, WA. The Engineering Solutions team develops scalable software applications and cloud-based data solutions that support data acquisition, analysis, reporting, and engineering decision-making across PACCAR Powertrain. This position will play a key role in designing, developing, and supporting these systems while collaborating with engineering teams across the organization.

This engineer will work closely with software engineers, controls engineers, calibration engineers, and stakeholders across multiple engineering groups to deliver robust and maintainable solutions. This role offers significant opportunities to make long-term contributions to engineering productivity and data-driven decision making.

Job Responsibilities

Design, develop, and maintain software solutions that support engineering data acquisition, storage, analysis, reporting, and business processes.
Develop and support scalable data ingestion, transformation, and integration solutions that enable efficient access to engineering and test data.
Build and enhance engineering applications, services, and tools that improve productivity, automation, and data-driven decision making.
Collaborate with engineering stakeholders to understand business requirements and translate them into maintainable software and data solutions.
Design and implement data models, data integrations, and platform capabilities that support long-term growth, performance, and reliability.
Participate in software architecture and technical design discussions to ensure solutions are scalable, secure, maintainable, and aligned with business objectives.
Contribute to automated build, test, deployment, and operational processes that improve software quality and delivery efficiency.
Create and maintain technical documentation, operational procedures, and support materials for developed solutions.
Establish and promote software engineering best practices including testing, code reviews, version control, documentation, and release management.
Participate in Agile development activities including planning, estimation, backlog refinement, and retrospectives.

Required Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, Electrical Engineering, or a related technical field.
7+ years of post-baccalaureate professional experience developing and supporting software applications or data engineering solutions.
Proficiency developing software solutions using Python, SQL, and at least one additional modern programming language.
Experience designing, developing, and supporting data processing, integration, or ETL solutions.
Experience building, deploying, and supporting applications in cloud-based environments.
Experience using GitHub and software delivery practices.
Strong understanding of software engineering fundamentals including testing, code reviews, maintainability, and secure development practices.
Strong analytical, troubleshooting, and problem-solving skills.
Strong written and verbal communication skills.
Ability to work effectively with cross-functional engineering teams and business stakeholders.
Strong attention to detail and commitment to delivering reliable, maintainable solutions.
Ability to travel up to 10%, including international travel.
Availability to work on-site at the PACCAR Technical Center.

Preferred Qualifications

Experience working with vehicle data loggers or telemetry data.
Knowledge of vehicle dynamics, diagnostics, and OBD systems.
Knowledge of automotive communication protocols including CAN, J1939, LIN, and Ethernet.
Master's degree in a related technical discipline.

PACCAR Benefits

As a U.S. PACCAR intern, you have a full range of benefit options including:

401k with up to a 5% company match
Fully funded pension plan that provides monthly benefits after retirement
Comprehensive PTO – minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time
Tuition reimbursement for continued education
Medical, dental, and vision plans for you and your family
Flexible spending account (FSA) and health account (HSA)
Paid short-and-long-term disability programs
Life and accidental death and dismemberment insurance
EAP services include wellness plans, estate planning, financial counseling and more

Additional Job Board Information

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H-1B visas, now or in the future. The salary range for the Software Engineer - Data & Engineering Applications is $104,100 - $162,900 annually. Additionally, this role is eligible for a full range of benefit options listed above. This position is also eligible for a holiday gift.

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More about this job

Skills

Data engineering
Decision making
Reporting
Business processes
Data models
Documentation
Agile development
Estimating
Computer science
Computer engineering
Electrical engineering
Python
SQL
Process data
GitHub
Troubleshooting
Problem solving
Communication skills
Attention to detail

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