Senior Data Engineer, AI Data Products

About this kind of role

What a Senior Data Engineer, AI Data Products usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains data pipelines to support artificial intelligence and machine learning initiatives. This role focuses on transforming raw data into usable formats for AI models, ensuring data quality, and optimizing data infrastructure for performance. Senior Data Engineers often collaborate with data scientists and machine learning engineers to understand data needs and implement efficient data solutions. They are responsible for the reliability and scalability of data systems used in AI product development.

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 tools is generally expected.

Good fit for: Individuals with strong analytical skills, a passion for data architecture, and experience in building robust data pipelines thrive in this role.