Data Engineer

PACCAR•Renton, WA
•$90,000 - $141,000•Onsite

About The Position

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.

Requirements

  • 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 similar cloud data warehouse platforms
  • Proficient in Python and related libraries such as Pandas, SQLAlchemy, and Flask

Nice To Haves

  • Masters’ degree in Computer Science preferred
  • Experience with CI/CD tools and practices (e.g., Github Actions) for automated deployment of data pipelines
  • Exposure to Reltio MDM concepts (match/merge, survivorship, entity resolution) or other similar MDM tools preferred but not required
  • Experience with Kafka or similar streaming platforms for real-time data integration

Responsibilities

  • 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

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
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