Job description

Data Engineering Manager Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started! Division Information PACCAR’s Information Division (ITD), located in Renton, WA, utilizes cutting-edge technology to provide systems development, consulting, voice and data communications services to the entire Corporation, which has high visibility in the technology sector. Requisition Summary PACCAR is a global truck technology leader with operations around the world. The Digital Solutions team is helping PACCAR make better decisions faster by moving to the cloud, adopting DevOps/CI/CD best practices, and unlocking a new level of productivity and value. We are looking for technology leaders to drive this evolution. The Data Engineering Manager is a key member of a high-performing team. You will be directly overseeing a diverse set of data, analytics, and remote data engineers located in delivering reliable, trusted data supporting business intelligence, advanced analytics, and other use cases. While having a motivated, team-oriented leader who helps the team solve the hard problems every day, this position requires trustworthy data products, technical debt, stewardship processes, and more. This is a highly visible, influential role critical for the dynamic, growing, and pioneering team. Job Functions / Responsibilities • Define and proactively drive the vision, roadmap, standards, and engineering practices for the data engineering discipline at PACCAR. • Build strong relationships with data engineers, product managers, business leaders, and analytics teams to understand trusted data needs and deliver measurable outcomes. • Own and prioritize the data engineering roadmap, balancing business priorities, platform modernization, production reliability, technical debt, and strategic investments. • Continuously evaluate engineering tools, architectures, and delivery methods, and lead adoption of improvements that increase reliability, speed, and cost efficiency. • Promote responsible use of cloud and platform resources through capacity planning, performance optimization, and cost awareness. • Own production maturity for Trusted Data through monitoring, pipeline-lag and data-freshness measures, incident response, disaster recovery, replay and reprocessing practices, operational runbooks, and clear support ownership. Required Qualifications • Bachelor’s degree required • 8+ years of experience in data engineering or related technical roles. • Technical foundation in data pipeline design, data modeling, ETL/ELT patterns, and data warehousing concepts. • Proficiency with SQL and at least one programming language commonly used in data engineering; • Experience with Snowflake, Qlik Replicate, Apache Airflow, or Kafka. • Experienced in DevOps practices, CI/CD pipelines, and infrastructure as code using Terraform. • Ability to translate complex technical concepts for non-technical stakeholders. • Track record of building collaborative relationships across engineering, product, and business teams. • Experience operating in Agile/Scrum environments and driving engineering process improvements. Preferred Qualifications • Master’s degree preferred • Python proficiency • 3+ years of hands-on experience with AWS services (e.g., S3, EC2, RDS, Lambda, IAM) or an equivalent cloud platform. • Demonstrated experience leading, coaching, and developing data engineers or multidisciplinary engineering teams. Competencies Act with Integrity Demonstrate Adaptability Drive for Results Influence Others Lead Innovation and Quality Initiatives Manage Execution Manage Talent Use Sound Judgment / Business Acumen Benefits As a U.S. PACCAR employee, you receive a comprehensive benefits package including: • Fully funded pension plan plus 401(k) with up to 5% company match • Employee Stock Purchase Plan (ESPP) to invest in PACCAR stock • Minimum 10 paid vacation days, 12 paid holidays, and sick time • Medical, dental, and vision plans for you and your family • Flexible spending accounts (FSA) and health savings accounts (HSA) • Paid short- and long-term disability, life insurance, and accidental death and dismemberment coverage • Tuition reimbursement for continued learning • Employee Assistance Program (EAP) including wellness plans, estate planning, and financial counseling 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 this position is $119,000 to $186,000 annually. Additionally, this role is eligible for a full range of benefit options listed above.

Requirements

Must-haves

Data Engineering Manager
Company Information
Division Information
Requisition Summary
Job Functions / Responsibilities
Define and proactively drive the vision, roadmap, standards, and engineering practices for the data engineering discipline at PACCAR.
Build strong relationships with data engineers, product managers, business leaders, and analytics teams to understand trusted data needs and deliver measurable outcomes.
Own and prioritize the data engineering roadmap, balancing business priorities, platform modernization, production reliability, technical debt, and strategic investments.
Continuously evaluate engineering tools, architectures, and delivery methods, and lead adoption of improvements that increase reliability, speed, and cost efficiency.
Promote responsible use of cloud and platform resources through capacity planning, performance optimization, and cost awareness.
Bachelor’s degree required
8+ years of experience in data engineering or related technical roles.

Nice-to-haves

Master’s degree preferred
Python proficiency
Demonstrated experience leading, coaching, and developing data engineers or multidisciplinary engineering teams.
Competencies
Act with Integrity
Demonstrate Adaptability
Drive for Results
Influence Others
Lead Innovation and Quality Initiatives
Manage Execution
Manage Talent
Use Sound Judgment / Business Acumen

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdsqlagilescrumpythonaws

Platform: career-feeds
Effort: medium

Benefits

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Dental

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401(K)

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