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# Purchasing Data Engineer

- **Company:** Paccar Winch Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $90,400.0 - $141,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Big Data, Business Software, Information Systems, Databases, Information Engineering, Data Integrity, Data Warehousing, Relational Databases, Graph Database, SAP (Applications), SQL Databases, Snowflake, Information Technology, Qlikview, Apache Kafka, Semantic Modeling, Data Pipelines
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_paccarwinch-1448206933

## About the Role

REQUISITION SUMMARY PACCAR is looking for a Data Engineer who can turn purchasing data into actionable insights that drive better business decisions., support informed sourcing decisions. + Support cost reduction initiatives through benchmarking, cost modeling, should-cost analysis, and total cost of ownership evaluations. + Identify and implement incremental cost savings on wiring harnesses through data analysis, market intelligence, and supplier collaboration. + Develop and maintain dashboards, KPI reports, and visualizations that provide actionable insights for leadership and key stakeholders. + Maintain clear documentation and standardized methodologies to ensure data consistency, transparency, and knowledge sharing. + Successfully complete additional projects and responsibilities as assigned Qualifications & Skills + Bachelor's degree required in computer science, engineering, information systems, or a related field. + 5+ years of experience experience in data engineering or related fields, demonstrating strong technical skills and problem-solving abilities. + Proficiency with SQL and Python for data manipulation and
pipeline development. + Familiarity with modern data stack tools (e.g., Snowflake, Qlik, Kafka, dbt, Airflow) and AWS. + Experience building production-grade data pipelines capable of handling large volumes of data from multiple heterogeneous sources. + Foundational understanding of semantic modeling, data warehousing concepts, and relational databases. + Basic understanding of AI concepts, tools, knowledge graphs, or vector databases. + Experience working with ERP systems (e.g., SAP), procurement data, supply chain analytics, or manufacturing Bill of Materials (BOM) is preferred. + Superior analytical and problem-solving skills. + Ability to understand complex business requirements and turn them into technical requirements/code. + Experience working with projects in a highly collaborative, multi-disciplined team environment. + Ability to maintain a high level of quality while working under pressure and deadlines. + Ability to work well with others and
independently in a fast-paced environment. + Strong written and oral communication skills.

## Description

The position will be responsible for creating and maintaining data tools, databases, and AI-enabled solutions that help the Wiring Harness Commodity Manager operate more effectively.
The primary goal of this role is to assist in identifying and implementing incremental cost savings on wiring harnesses.
Job Functions / Responsibilities + Maintain accurate, reliable, and standardized purchasing data to support business decision-making and ensure data integrity across all systems. + Develop and maintain data tools, models, and pipelines that collect, organize, transform, and deliver trusted purchasing and supply chain data. + Monitor data quality and system performance, proactively resolving issues to minimize disruptions and ensure reliable access to information. + Automate recurring reports, datasets, and processes to improve efficiency, consistency, and accuracy. + Enable the use of AI and advanced analytics by ensuring purchasing and supply chain data is structured, accessible, and ready for business applications. + Partner effectively with Purchasing, Engineering, Supply Chain, Finance, and IT teams to understand business needs and provide data-driven solutions. + Analyze supplier spending, pricing trends, cost changes, and performance metrics to identify opportunities and