Bring purchasing and supply chain data to life to support incremental cost savings and decision-making.

Maintain accurate, reliable, and standardized purchasing data to support business decision-making and data integrity across systems.
Develop and maintain data tools, models, and pipelines to collect, organize, transform, and deliver trusted purchasing and supply chain data.
Monitor data quality and system performance; resolve issues proactively to minimize disruptions and keep information accessible.
Automate recurring reports, datasets, and processes to improve efficiency, consistency, and accuracy.
Prepare purchasing and supply chain data to be structured, accessible, and ready for AI and advanced analytics use cases.
Partner with Purchasing, Engineering, Supply Chain, Finance, and IT to understand needs and deliver data-driven solutions.
Analyze supplier spending, pricing trends, cost changes, and performance metrics to uncover opportunities and support sourcing decisions.
Support cost reduction through benchmarking, cost modeling, should-cost analysis, and total cost of ownership evaluations.
Identify and implement incremental cost savings on wiring harnesses using data analysis, market intelligence, and supplier collaboration.
Build and maintain dashboards, KPI reporting, and visualizations for actionable insights to leadership and stakeholders.
Maintain clear documentation and standardized methodologies for consistency, transparency, and knowledge sharing.
Complete additional projects and responsibilities as assigned.

Bachelor’s degree in computer science, engineering, information systems, or a related field.
5+ years of experience in data engineering or related fields with strong technical skills and problem-solving.
Proficiency with SQL and Python for data manipulation and pipeline development.
Familiarity with modern data stack tools: Snowflake, Qlik, Kafka, dbt, Airflow and AWS.
Experience building production-grade data pipelines handling large volumes from multiple heterogeneous sources.
Foundational understanding of semantic modeling, data warehousing concepts, and relational databases.
Basic understanding of AI concepts plus tools, knowledge graphs, or vector databases.
Experience with ERP systems (e.g., SAP), procurement data, supply chain analytics, or manufacturing Bill of Materials (BOM) is preferred.
Strong analytical and problem-solving skills.
Ability to translate complex business requirements into technical requirements, data models, and code.
Experience in highly collaborative, multi-disciplined environments.
Ability to maintain high quality while working under pressure and deadlines.
Strong written and oral communication skills.

401k with up to a 5% company match
Fully funded pension plan providing monthly benefits after retirement
Comprehensive paid time off: minimum of 10 paid vacation days (additional days with seniority/years of service), 12 paid holidays, and sick time
Tuition reimbursement for continued education
Medical, dental, and vision plans for you and your family
FSA and HSA
Paid short- and long-term disability programs
Life and accidental death and dismemberment insurance
EAP services: wellness plans, estate planning, financial counseling, and more

Location: Bellevue, WA, US (onsite)
Salary range: USD 90,400 - 141,800 per year
Nearest major market: Seattle
Nearest secondary market: Bellevue
Job segment: Supply Chain, Manufacturing Engineer, Data Warehouse, Computer Science, Purchasing, Operations, Engineering, Technology, Finance
Employment: E-Verify and Equal Opportunity Employer/Protected Veteran/Disability

Purchasing Data Engineer

Job Description