Data Engineer: Snowflake & Databricks on Azure (Hybrid) (Chicago)

A financial services technology firm in Chicago is seeking a Data Engineer to design and optimize pipelines and models using Snowflake and Databricks. This role requires 5 to 8 years of data engineering experience, particularly with Azure, as well as a strong understanding of ELT processes. The position offers flexibility to work hybrid or remote across the US, with compensation ranging from $85 to $165 per hour depending on experience.
#J-18808-Ljbffr