A client is searching for a Databricks Data Engineer to join their team. This will be a technical resource with hands-on data engineering experience who can help with: 1) Development of Data Engineering pipelines using Python notebooks and SQL (PySpark and Spark SQL), 2) Experience with Databricks Pipeline Orchestration in Databricks, 3) Experience with Unity Catalog, 4) Experience with automated testing in Databricks. This candidate will need to have 3+ years of experience total within data engineering and solutions architecture, with 2 years specifically working with Databricks products.
Expected Pay: $50-65/hr
Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law
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- 3+ years of experience within data engineering and ETL processes
- Experience engineering pipelines using Python notebooks and SQL
- Experience loading star schema into data warehouses
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.