Senior Data Engineer – Semiconductor Domain

Note: Only direct candidates will be considered—no C2C or third-party vendors. Candidates must come from a semiconductor background and must not require any sponsorship. Role Summary The Data Engineer will build and optimize scalable data pipelines to support supplier automation, manufacturing data integration, and analytics enablement within Snowflake environments. Key Responsibilities Develop and maintain ETL/ELT data pipelines Integrate supplier and manufacturing datasets into Snowflake Utilize Spark for large-scale data transformation Support Exensio and PDF-based data extraction workflows Enable datasets for yield analytics and DFM reporting Ensure data quality, integrity, and performance Collaborate with Architects and AI/ML Engineers • Required Experience & Skills 8+ years of data engineering experience Semiconductor or manufacturing domain experience Strong Snowflake expertise Experience with Apache Spark Proven experience building data pipelines Knowledge of Exensio / PDF-based processing Understanding of Yield analytics and DFM data #IT Job Types: Full-time, Contract Pay: $65.00 - $80.00 per hour Benefits: Employee assistance program Health insurance Paid time off Professional development assistance Referral program Experience: Data Engineering: 10 years (Required) Semiconductor Domain: 2 years (Required) Exensio / PDF-based processing: 2 years (Required) Strong Snowflake expertise: 5 years (Required) Work Location: In person