Data Engineer

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started!

PACCAR's Information Division (ITD), located in Renton, WA utilizes cutting-edge technology to provide systems development, consulting, voice and data communications services to the entire corporation, which has high visibility in the technology sector.

Does empowering teams to make data driven decisions excite you? Do you wake up in the morning wondering what possibilities could be unlocked with more data? PACCAR is looking for an Data Engineer to join our Master Data Management team. This role focuses on building reliable, high-quality data pipelines that connect source systems to our MDM platform and deliver trusted master data to downstream consumers.

We advocate for leading data practices and make sure our business users can make data driven decisions with confidence in the data they rely on.

• Build and support streaming and batch data pipelines using Apache Airflow and Apache Beam (GCP Dataflow) to integrate source systems into downstream databases/MDM applications
• Develop Python-based data pipelines and transformation logic for data ingestion, cleansing, and delivery
• Support real-time/streaming data integration, preferably using Kafka, to enable near real-time master data availability
• Contribute to overall architecture, framework, and design patterns for source-to-application and application-to-database integrations, and to store/process high data volumes
• Develop solutions to measure, improve, and monitor data quality based on business requirements
• Build and maintain CI/CD pipelines to support automated testing, deployment, and release management of data pipelines
• Monitor pipeline health and performance using Grafana dashboards, proactively identifying and resolving issues
• Ensure product and technical features are delivered to spec and on-time
• Design and implement reporting and analytic features in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
• Proactively support product health by building solutions that are automated, scalable, and sustainable – be relentlessly focused on minimizing defects and technical debt
• Provide post-implementation production support for data pipelines

Visa sponsorship or immigration support is not available for this position. Candidates must be currently authorized to work in the United States and able to maintain that authorization throughout their employment without requiring employer sponsorship.

• Bachelor's degree required, with a strong preference for majors in Computer Science, Informatics, or a related field.
• 5+ years of experience in a data engineering role
• 3+ years of experience with GCP services (Dataflow, Pub/Sub, Cloud Storage, IAM) along with hands‑on experience with Apache Airflow and Apache Beam
• Knowledge of RDBMS platforms (MS SQL Server, Oracle, MySQL, Postgres) and Snowflake or…