Описание

The Data Engineering Manager is a key member of a high-performing team within PACCAR's Information Division, responsible for overseeing a diverse set of data, analytics, and remote data engineers to deliver reliable, trusted data supporting business intelligence, advanced analytics, and other use cases.

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

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
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

Nice to have

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

We offer

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
The salary range for this position is $119,000 to $186,000 annually