AI Parts Supply Chain Application Engineer

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Role Summary

We are hiring a Senior Data Engineer to support WW Service Supply Chain operations across Repair, Reverse, and Refurbish. This role focuses on billing data systems, complex SQL procedures, Python ETL, and cross-system data integration. The ideal candidate can own ambiguous legacy logic, turn business rules into reliable data processes, and use AI-assisted coding tools to work efficiently.

Job Responsibilities

Maintain and improve billing-related data workflows that support Repair, Reverse, and Refurbish operations.

Analyze, optimize, and document complex SQL stored procedures and core business logic.

Build and maintain Python ETL pipelines for data ingestion, transformation, and synchronization across systems.

Support the evolution of billing logic toward more granular repair-level or RMA-level data structures.

Investigate data issues, reconcile cross-system inconsistencies, and improve data quality and traceability.

Partner with business, operations, and finance stakeholders to translate process rules into maintainable data solutions.

Produce clear technical documentation and structured handover materials for key jobs, procedures, and data sources.

Use AI-assisted coding and rapid prototyping practices to accelerate analysis, documentation, and delivery.

Job Requirements：

Bachelor's degree or above in Computer Science, Information Systems, Data Engineering, Mathematics, or a related field.

5+ years of experience in data engineering, analytics engineering, or backend data platform development.

Strong SQL skills, including complex queries, aggregations, stored procedures, and performance tuning.

Solid Python experience for ETL, automation, and data processing.

Good understanding of data warehousing and layered data models.

Experience supporting business-critical or legacy data systems with complex logic.

Ability to communicate clearly with both technical and non-technical stakeholders.

Comfortable using AI-assisted coding tools to improve development efficiency and code understanding.

Preferred Qualifications

Experience in billing, finance data, supply chain, repair operations, or reverse logistics.

Familiarity with Service Supply Chain workflows, especially Repair, Reverse, and Refurbish.

Experience refactoring legacy data processes into more scalable and traceable designs.

Exposure to reinforcement learning, optimization, or allocation-rule modeling is a plus, but not required.

AI agent deployment experience.

What We Value

Strong ownership of high-impact data and business logic.

Practical problem-solving in complex and evolving system environments.

Clear documentation habits and structured handover capability.

A fast, iterative working style with effective use of AI-assisted coding.