Principle Data Engineer

Experience Preferred: Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing, or a combination thereof, and 5 years of progressively responsible experience in data-related requirements, design, development, and deployment efforts: Five (5) years of experience in Databricks Five (5) years of experience in developing data pipelines using Python Five (5) years of experience in Lakehouse Platform Two (2) + years of experience in designing and developing Databricks medallion lakehouse architecture, applying data governance, and data quality best practices One (1) year of experience in developing data models One (1) year of experience in Azure Data Factory One (1) year of experience in Managing Azure Resources One (1) year of experience in automating Azure Data Resources using DataOps This classification requires the possession of a Bachelor's in Computer Science, Data Engineering, or related field.

Created: 2026-03-04