Data Engineer Jobs

About The Position

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.