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# Data Engineer

- **Company:** Paccar Winch Inc.
- **Location:** Renton, WA, United States
- **Experience:** Experienced
- **Salary:** $90,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Airflow, Automation of Tests, Cloud Storage, Databases, Continuous Integration, Information Engineering, Relational Databases, Software Design Patterns, Data Flow Control, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Oracle (Applications), Scrum Methodology, Release Management, SQLAlchemy, Data Streaming, Data Ingestion, Flask (Web Framework), Snowflake, Grafana, Technical Debt, Pandas, Information Technology, Deployment Automation, SAP MDG, Real Time Data, Apache Kafka, Data Management, Entity Resolution, Data Pipelines, Apache Beam
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_paccarwinch-1447799633

## About the Role

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

## Description

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.