Data Engineer Manager

PACCAR • Renton, WA

22h • $119,000 - $186,000

About The Position

PACCAR’s Digital Solutions team is helping the company make better decisions faster by moving to the cloud, adopting DevOps and CI/CD practices, and increasing productivity and value. The Data Engineering Manager is a key member of a high-performing team and directly oversees data, analytics, and remote data engineers who deliver reliable, trusted data for business intelligence, advanced analytics, and other use cases. This highly visible and influential role calls for a team-oriented leader who helps solve challenging problems while advancing trustworthy data products, technical debt management, and stewardship processes.

The manager defines and drives the vision, roadmap, standards, and engineering practices for PACCAR’s data engineering discipline. The role owns and prioritizes the data engineering roadmap, builds relationships across engineering, product, business, and analytics teams, and promotes reliable, efficient use of cloud and platform resources. It also owns production maturity for Trusted Data, including monitoring, pipeline lag and freshness measures, incident response, disaster recovery, replay and reprocessing practices, operational runbooks, and clear support ownership.

Requirements

• 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.
• 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 operating in Agile/Scrum environments and driving engineering process improvements.

Nice To Haves

• 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.

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 use of cloud and platform resources 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager