Staff Data Engineer, ML Platform

About this kind of role

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

Typically does: Data Engineers build and maintain data pipelines that transform raw data into usable formats for machine learning models. They design, construct, install, and manage data warehouses and databases. This role often involves optimizing data systems for performance and scalability, ensuring data quality and reliability. They collaborate with data scientists and machine learning engineers to understand data needs and deliver solutions.

Tools and skills: Proficiency in SQL, Python, cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), and ETL (Extract, Transform, Load) processes is generally expected.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.