Job Description
About this kind of role
What a Lead Data Engineer, AI & Modernization usually does. The employer's own details are in the listing.
Typically does: Designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning initiatives. This role focuses on modernizing existing data systems and integrating new technologies to improve data accessibility and performance. Responsibilities often include data modeling, ETL (extract, transform, load) processes, and ensuring data quality and security. Collaboration with data scientists, software engineers, and business stakeholders is a key aspect of the work.
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 required.
Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data architecture, and the ability to translate business needs into technical solutions often thrive in this role.
No password to remember: you can log in with a link we email you. Log in →
View Similar Jobs
Similar jobs which you may be interested in. Typically using your existing skillset.
Intern - Data Science, Distributed Intelligence
Itron, Inc..San Diego, USA
