Data Engineer, Staff (Semiconductor Engineering)
Core
Design and implement scalable data platforms and governed data products to drive semiconductor engineering insights from high-volume test and manufacturing data.
Role type
Staff Data Engineer (Semiconductor Engineering)
Builds
Scalable cloud-based data platforms, ETL/ELT solutions, and analytics capabilities for semiconductor test data.
Domain
Semiconductor manufacturing and test engineering
Required skills
Cloud data platforms (AWS), Python (PySpark, Pandas), SQL, Data modeling, Data governance, Data stewardship, Metadata management, Data quality controls, Semantic modeling, ETL/ELT design
Preferred skills
MCP/API-based data access, STDF/ATE data processing, Yield analysis, AWS Certified Solution Architect - Professional
Technologies
AWS, Databricks, Snowflake, Spark, PySpark, Pandas, SQL
Responsibilities
Design end-to-end data products and ETL/ELT solutions for large-scale semiconductor datasets; Implement business logic for yield analysis, binning, and failure analysis; Establish data governance frameworks and stewardship practices; Optimize platform scalability and reliability for STDF/ATE data processing.
Seniority
Staff, hands-on IC with strategic leadership
