Data Engineer Manager

PACCAR•Renton, WA

About The Position

PACCAR’s Information Division is seeking a Data Engineering Manager for its Digital Solutions team. The team is helping PACCAR make better decisions faster by moving to the cloud, adopting DevOps and CI/CD practices, and increasing productivity and value. This highly visible, influential position oversees data, analytics, and remote data engineers who deliver reliable, trusted data for business intelligence, advanced analytics, and other uses. The manager leads the team in solving complex problems and is responsible for trustworthy data products, technical debt, and stewardship processes. The role defines the vision, roadmap, standards, and engineering practices for data engineering at PACCAR. It builds partnerships across engineering, product, business, and analytics teams; prioritizes the data engineering roadmap; and leads improvements to tools, architecture, delivery, reliability, speed, and cost efficiency. The manager also owns production maturity for Trusted Data, including monitoring, data freshness, incident response, disaster recovery, reprocessing, operational runbooks, and support ownership. PACCAR is a Fortune 500 global leader in commercial vehicles, financial services, and customer support, with brands including Kenworth, Peterbilt, and DAF. The Information Division is located in Renton, Washington, and provides systems development, consulting, and voice and data communications services to the corporation. The annual salary range for this position is $119,000 to $186,000.

Requirements

  • Bachelor’s degree.
  • At least 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.
  • Experience with 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 working in Agile/Scrum environments and driving engineering process improvements.

Nice To Haves

  • Master’s degree.
  • Python proficiency.
  • At least 3 years of hands-on experience with AWS services such as S3, EC2, RDS, Lambda, and IAM, or an equivalent cloud platform.
  • Demonstrated experience leading, coaching, and developing data engineers or multidisciplinary engineering teams.

Responsibilities

  • Define and proactively drive the vision, roadmap, standards, and engineering practices for PACCAR’s data engineering discipline.
  • Build 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.
  • Evaluate engineering tools, architectures, and delivery methods, and lead adoption of improvements that increase reliability, speed, and cost efficiency.
  • Promote responsible cloud and platform resource use through capacity planning, performance optimization, and cost awareness.
  • Own production maturity for Trusted Data, including monitoring, pipeline-lag and data-freshness measures, incident response, disaster recovery, replay and reprocessing practices, operational runbooks, and clear support ownership.
  • Oversee a diverse team of data, analytics, and remote data engineers.

Benefits

  • Fully funded pension plan.
  • 401(k) with up to 5% company match.
  • Employee Stock Purchase Plan (ESPP).
  • At least 10 paid vacation days, 12 paid holidays, and sick time.
  • Medical, dental, and vision plans for employees and their families.
  • Flexible spending accounts (FSA) and health savings accounts (HSA).
  • Paid short- and long-term disability coverage, 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.
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