Data Engineer

Advanced Micro Devices, Inc•Austin, TX

14h

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s products, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. THE PERSON: As a Data Engineer, you will drive scalable and automated data solutions. In this high visibility position, your data engineering expertise will be necessary to design data pipelines, develop ETL solutions, assess data quality issues, and produce resolution strategies.

Nice To Haves

Programming/scripting skills (e.g., Python, SQL).
Data debugging techniques and troubleshooting methodologies
Experience with data pipeline tools and orchestration platforms (e.g., Databricks, Snowflake)
Experience with database optimization, query performance tuning, and ETL pipeline monitoring
Knowledge of data architecture, schema design, and data validation strategies

Responsibilities

Driving technical innovation to improve AMD's capabilities across product development and validation, including pipeline development, ETL optimization, data modeling enhancements, and various internal and cross-functional initiatives
Troubleshooting data quality and pipeline failures found during development, testing, and production phases
Working with multiple teams and tracking data ingestion and processing to ensure all datasets are validated and optimized on time
Working closely with supporting technical and analytics teams
Engaging in data warehouse and analytics framework design
Leading collaborative approaches with multiple teams.