Principal - Data EngineerLocation: Bellevue WA (Hybrid) Rate - DOEJob DescriptionsWe operate in an Azure + Databricks Lakehouse. We'll need a person with:Azure experience – ADF for orchestration, ADLS for storage, AzureDevOps for CI/CDDatabricks experience – all compute/ETL leverages Databricks and is programmed leveraging Spark (PySpark, SparkSQL)PowerShell experience – this is our scripting language of choiceSQL proficiency – it's used everywhere (TSQL, PostgreSQL)Proficiency with parquet and delta formatsAdditionally – they will need experience in:SDLC + CI/CD – we follow a standard deployment process (dev, test, prod) that includes peer reviewed code. They need to be comfortable with standard DevOps practices.Should have a deep understanding of indexes and partitioning.Should be proficient optimizing code for performance (able to read a DAG, determine where CBO is using most resources)Should be proficient in writing code in a matter that it can run repeatedly and produce the same state (we have a custom SQL Deployment framework)