We are seeking a Data Engineer to support high-speed I/O validation for a leading semiconductor innovator. In this onsite Austin role, you’ll develop data-driven solutions to optimize product quality and validation efficiency. Key Responsibilities • Design Python automation scripts for performance data collection and analysis. • Build data pipelines (SQL, Snowflake) to streamline validation and manufacturing metrics. • Develop predictive models to identify and mitigate system-level variations. • Collaborate with cross-functional teams to improve validation workflows. • Create dashboards (PowerBI, JMP) for actionable insights. Qualifications • 4+ years in data engineering, test automation, or semiconductor validation. • Proficiency in Python, SQL, and data warehousing (Snowflake/Spark preferred). • Experience with high-speed I/O interfaces (e.g., PCIe, SerDes) is a plus. • Strong analytical skills with tools like PowerBI, JMP, or Tableau. • Degree in Computer Engineering, Electrical Engineering, or related field.