About the company
PACCAR is a Fortune 500 company established in 1905 and a global leader in commercial vehicles, financial services, and customer service. Its Information Division, located in Renton, WA, provides systems development, consulting, voice and data communications services across the corporation. The Digital Solutions team is moving to the cloud, adopting DevOps/CI/CD best practices, and unlocking productivity and value.
Responsibilities
- Define and 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 improvements to 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 support ownership.
Requirements
- Bachelor’s degree required; master’s degree preferred.
- 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 explain complex technical concepts to non-technical stakeholders and build collaborative relationships across engineering, product, and business teams.
- Experience in Agile/Scrum environments and driving engineering process improvements.
- Python proficiency preferred.
- 3+ years of hands-on experience with AWS services (such as S3, EC2, RDS, Lambda, and IAM) or an equivalent cloud platform preferred.
- Demonstrated experience leading, coaching, and developing data engineers or multidisciplinary engineering teams preferred.
Conditions
- On-site in Renton, WA, US.
- Annual salary: $119,000–$186,000, with a comprehensive benefits package.
- Benefits include a fully funded pension plan, 401(k) with up to 5% company match, employee stock purchase plan, at least 10 paid vacation days, 12 paid holidays, sick time, medical, dental and vision plans, FSA and HSA accounts, short- and long-term disability, life insurance, accidental death and dismemberment coverage, tuition reimbursement, and an Employee Assistance Program.
- Applicants and employees will not be sponsored for work authorization, including H-1B visas, now or in the future.