Senior Data Engineer for Training Curriculum

The MinIO team is looking for an experienced Data Engineer with at least five years of designing, deploying and supporting high-performance, large-scale processing systems and data pipelines using GPU processors. The candidate must be well rounded, with experience with modern workloads such as AI/ML platforms, data lakehouses, modern database technologies (MongoDB, Snowflake, Vector), open table formats (Iceberg, Deltalake, Hudi). 

You will work closely with the MinIO Engineering team to understand how to optimize MinIO object storage for these workloads. This research will lead to the development of training content, including hands-on labs and course materials. You will be recording videos that will be published on YouTube and the future MinIO learning portal. 

You will be part of a team of technologists, video editors, and motion graphic designers building a world-class training portfolio for MinIO. This role works hand in hand with MinIO engineering, support, and technical marketing to tell the Kubernetes-native, multi-cloud story that is MinIO object storage as it relates to the data store.

Previous curriculum development and/or training delivery is helpful but not required. You will need strong oral and written communication skills and a willingness to become a good video presenter to make our training relevant and easy to consume.

What you will do:

• Build real-world, use case-driven labs that establish best practices for using MinIO
• Support the labs with clear, concise training content and develop real-world and use case-based examples, guided exercises, and practical lab materials.
• Package the labs and content into short, outcome oriented training modules
• Record training videos
• Learn new platforms and technologies quickly to become a subject matter expert

Requirements

• 5+ years as an enterprise data engineer
• 5+ years of experience with software-defined storage
• 3+ years using Amazon AWS, including an understanding of S3 and the S3 API
• Solid foundation of Linux skills
• 3+ years deploying and supporting applications on GPU systems
• 3+ years building and maintaining workflows in git
• Strong oral and written communication skills
• Previous experience delivering webinars and/or recorded technical content is a plus

Benefits

• Medical insurance
• Vision insurance
• Dental insurance
• 401(k)
• Paid maternity leave
• Paid paternity leave