Senior Data Engineer, Applied AI Solutions

About this kind of role

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

Typically does: A Data Engineer builds and maintains data pipelines that transform raw data into usable formats for analysis and machine learning. They design, construct, and deploy robust data warehousing solutions, ensuring data quality and accessibility. This role often involves collaborating with data scientists and other engineers to optimize data infrastructure and improve data processing efficiency. They are responsible for the overall architecture and performance of data systems.

Tools and skills: Proficiency in SQL, Python, cloud platforms like AWS or Azure, data warehousing technologies (e.g., Snowflake, Redshift), and ETL tools 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.