Staff Data Engineer - AI Platform

About this kind of role

What a Staff Data Engineer - AI Platform usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to support machine learning models and artificial intelligence applications. This role focuses on ensuring data is reliable, efficient, and accessible for data scientists and machine learning engineers. Responsibilities often include data modeling, ETL (extract, transform, load) processes, and optimizing data storage solutions. Data Engineers in this area work to scale data infrastructure to meet the demands of growing AI initiatives.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), and experience with big data tools like Spark or Hadoop is generally expected.

Good fit for: Individuals with a strong analytical background and a passion for building robust data systems to enable advanced AI capabilities often thrive in this role.