Data Engineer for High-Speed I/O Validation (Contract)

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.

Permanent