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Paccar

Builds heavy trucks and engines for fleets

Lead Software Engineer - Validation Solutions, Automation & Analytics

Backend EngineeringUpdated on Nov 14
Full-timeMount Vernon, WA, USA$104.1k - $162.9k /yr

About the Job

Requirements

  • A minimum of 7 years of engineering experience, including at least 5 years of software, data, platform, or automation engineering experience with substantial hands-on development and technical leadership.
  • Advanced recent experience with Python and SQL.
  • Demonstrated systems thinking and architectural judgment across software, data, interfaces, users, security, and operations, with experience delivering production software, data pipelines, automation, and user-facing data products.
  • Experience integrating enterprise systems through APIs, services, databases, or lakehouse platforms, along with source control, automated testing, deployment, monitoring, and lifecycle support.
  • Experience creating portals, dashboards, analytics applications, reports, or engineering interfaces with attention to usability and effective data visualization.
  • Ability to lead through influence, review technical designs and code, mentor contributors, communicate tradeoffs, and work across validation, engineering, and enterprise teams.
  • Excellent written and verbal communication skills and ability to travel up to 10%.
  • A bachelor's degree in computer science, software engineering, data engineering, or a related computing discipline.

Responsibilities

  • Assess validation workflows, data, tools, reporting needs, access constraints, and inefficiencies, then define a phased technical roadmap for shared solutions that reduce manual effort and improve consistency, traceability, and reuse.
  • Own the end-to-end architecture, technical strategy, delivery, adoption, and lifecycle of validation software, data platforms, and automation solutions, setting direction across reporting, data pipelines, portals, services, development toolchains, analytics, user interfaces, and enterprise integrations.
  • Evaluate and leverage existing enterprise platforms, shared services, data sources, and APIs before developing new standalone solutions, integrating capabilities across the Microsoft ecosystem and other established PACCAR systems where appropriate.
  • Lead and contribute to the design, development, testing, deployment, and support of production-quality software and data solutions.
  • Define scalable, secure data pipelines and access patterns that connect vehicle, test, measurement, engineering-tool, and business data into governed, traceable, and reusable data products.
  • Design portals, dashboards, analytics applications, reports, and user interfaces that make validation data understandable and actionable through consistent metrics, shared definitions, and standardized reporting methods.
  • Create reusable tools, frameworks, services, data products, and AI-enabled capabilities that become shared validation infrastructure, accelerate engineering delivery, improve decision quality, and reduce duplicated effort across teams.
  • Establish and drive organization-wide adoption of modern engineering practices for architecture and code quality, source control, automated testing, continuous integration and deployment, security, monitoring, documentation, and operational support, removing systemic bottlenecks and raising the standard for software delivery.
  • Provide technical leadership across organizational boundaries, influence investment and architectural decisions, mentor and develop engineers, resolve complex cross-system issues, and build durable organizational capability that reduces key-person dependency while aligning solutions with PACCAR architecture, cybersecurity, data-governance, and operational requirements.

Desired Qualifications

  • Experience with C#/.NET for Microsoft and enterprise-platform integration.
  • Experience with TypeScript or JavaScript for portal and user-interface development.
  • Experience integrating and extending Microsoft platforms and tools, including Azure, Power Platform, Power BI, Microsoft 365, and related cloud or hybrid services.
  • Experience with vehicle, test, measurement, telemetry, calibration, or validation data, and with machine-learning or AI solutions.

About the Company

Paccar

Builds heavy trucks and engines for fleets

PACCAR designs and builds medium- and heavy-duty trucks for freight carriers, builders and other fleet operators, selling them under three brands: Kenworth and Peterbilt in North America and DAF in Europe and beyond. Its trucks haul long-distance freight, make local deliveries and work on construction and logging sites, and they are sold and serviced through independent dealers worldwide. The company makes most of its money selling trucks, and it also earns steady revenue from selling replacement parts and from loans and leases to truck buyers. PACCAR traces its roots to a Seattle rail car maker founded in 1905 and is based in Bellevue, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Bellevue, WA
Founded
1905

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