Job description

Company Information 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! Division Information 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. Requisition Summary 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. Job Functions / 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 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. Basic Qualifications • 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 Preferred Qualifications • 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 Benefits As a U.S. PACCAR employee, you receive a comprehensive benefits package including: • 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 PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. Applicants and employees for this position will not be sponsored for work authorization, including, but not limited to H-1B visas, now or in the future. The salary range for this position is $90,000 to $141,000 annually. Additionally, this role is eligible for a full range of benefit options listed above.

Requirements

Must-haves

Company Information
Division Information
Requisition Summary
Job Functions / 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
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

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Keywords to mirror

gcppythonci/cdagilescrumsqlpostgres

Platform: career-feeds
Effort: medium

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401(K)

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