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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Advanced Micro Devices, Inc. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Databases, Continuous Integration, Data Architecture, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Python (Programming Language), Machine Learning, SQL Databases, Google Cloud, Data Storage Technologies, Cloud Platform System, Snowflake, Data Lakes, Pyspark, Information Technology, Integration Frameworks, Apache Nifi, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/07f54004-5299-4c0c-8ff5-418d66060f54 ## About the Role * Advanced experience in data management, database design, data modeling, and data architecture preferably within the semiconductor industry or related high-tech sectors * Hands-on experience with a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi. * Proficiency in PySpark/ Scala, SQL & Python. * Experienced with cloud computing platforms such as AWS, Azure, or Google Cloud Platform is highly desirable (Azure is preferred). * Experience working within semiconductor industry or related high-tech sectors * Experience collaborating with international teams, particularly in China and India. * Experience with Infrastructure-As-Code and CI/CD automation * Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders ACADEMIC CREDENTIALS: * Bachelor's or Master's degree in Computer Science or Engineering preferred ## Description This position will be within a central organization and tasked with designing, establishing, and maintaining the architecture necessary for Client, Graphics, and Semi-Custom teams to efficiently manage and leverage their data resources., We are seeking a highly skilled Data Engineer with strong architectural capabilities to join our team at AMD. This individual should also possess a strategic mindset to envision the long-term data architecture roadmap for various groups within the company. They will be capable of aligning data solutions with business goals, anticipating future data needs, and designing scalable architectures that support growth and innovation. The ideal candidate will be involved in the day-to-day implementation of data engineering solutions, able to prototype, lead other data engineers, mentor junior engineers, and coordinate with stakeholders to ensure that projects are delivered on time, within budget, and according to specifications., * Collaborating with stakeholders to gather data requirements and define data and analytics solutions. * Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics * Implementing data integration, ETL processes, ML and data pipelines to ensure efficient data movement and transformation. * Designing and implementing data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses. * Assist customer teams with analytics, including creating reports, building dashboards, and implementing machine learning pipelines. * Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability. * Evaluating emerging data technologies, tools, and platforms to determine their suitability for addressing the organization's data challenges and requirements, AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)