Data Engineer

PACCAR•Renton, WA

About The Position

PACCAR’s Information Division is seeking a Data Engineer to join its Master Data Management team in Renton, Washington. The role focuses on building reliable, high-quality data pipelines that connect source systems to the MDM platform and deliver trusted master data to downstream consumers. The team promotes sound data practices so business users can make decisions confidently using reliable data. The Data Engineer develops, supports, and monitors batch and streaming integrations, data transformations, and data-quality solutions. The role also contributes to integration architecture and design patterns, CI/CD practices, reporting and analytics, and the ongoing health and support of production data pipelines. Work is performed with product owners, reporting and data analysts, and business partners using an Agile/Scrum methodology.

Requirements

Bachelor’s degree required; a major in Computer Science, Informatics, or a related field is strongly preferred.
At least 5 years of experience in a data engineering role.
At least 3 years of experience with GCP services, including Dataflow, Pub/Sub, Cloud Storage, and IAM, along with hands-on experience with Apache Airflow and Apache Beam.
Knowledge of RDBMS platforms such as MS SQL Server, Oracle, MySQL, or Postgres, and Snowflake or a similar cloud data warehouse platform.
Proficiency in Python and related libraries such as Pandas, SQLAlchemy, and Flask.
Must be currently authorized to work in the United States and able to maintain work authorization throughout employment without employer sponsorship.

Nice To Haves

Master’s degree in Computer Science.
Experience with CI/CD tools and practices, such as GitHub Actions, for automated data pipeline deployment.
Exposure to Reltio MDM concepts such as match/merge, survivorship, and entity resolution, or similar MDM tools.
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 with downstream databases and MDM applications.
Develop Python-based data pipelines and transformation logic for data ingestion, cleansing, and delivery.
Support real-time and streaming data integration, preferably using Kafka, to enable near-real-time master data availability.
Contribute to architecture, frameworks, and design patterns for source-to-application and application-to-database integrations, including storing and processing high data volumes.
Develop solutions to measure, improve, and monitor data quality based on business requirements.
Build and maintain CI/CD pipelines for automated testing, deployment, and release management of data pipelines.
Monitor pipeline health and performance using Grafana dashboards and proactively identify and resolve issues.
Ensure product and technical features are delivered to specifications and on time.
Design and implement reporting and analytics features in collaboration with product owners, reporting analysts, data analysts, and business partners using an Agile/Scrum methodology.
Support product health by building automated, scalable, and sustainable solutions while minimizing defects and technical debt.
Provide post-implementation production support for data pipelines.

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.
Employee Assistance Program (EAP), including wellness plans, estate planning, and financial counseling.