The Data Engineer, AI Enablement develops and maintains data pipelines and datasets that support analytical reporting and artificial intelligence solutions.
Using a variety of data engineering methods, this role works with structured, semi-structured, and unstructured data to prepare datasets for analytics, artificial intelligence, agents, and modeling use cases.
Support the construction and ongoing maintenance of data structures used for data-driven and AI-enabled analyses.
Assess and report on data quality and contribute to efficiency improvements by aligning data and AI systems with defined business and analytical goals.
Enable analysts, AI developers, and business stakeholders to access, consume, and operationalize valid and reliable data across internal and external use cases.
Requirements
Strong, hands-on experience with SQL data management and database design, and preferably Snowflake data structures and best practices
Excellent problem solving and communication skills
Experience with data lakes and medallion data warehousing
Ability and desire to learn new software, techniques, and methods