> Markdown version of [/jobs/ext/3583979-sr-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/3583979-sr-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Databricks Engineer - **Company:** Expert Technology Services - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Salary:** $93,600.0 - $104,000.0 - **Contract:** Temporary to permanent - **Skills:** Business Analytics Applications, Microsoft Azure, Code Review, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Data Flow Control, Github, IBM Cognos Business Intelligence, Python (Programming Language), Scrum Methodology, Power BI, Standard Sql, Azure Machine Learning, Netezza, Information Technology, Azure Synapse Analytics, Databricks - **Published:** October 4, 2026 - **Apply:** https://www.careerjet.com/jobad/us8096ebfd5f5b1bd066f497961591571b ## About the Role 5-10 years' experience in Data Engineering, Data Integration, or Data Warehousing - Hands-on experience with Azure Databricks - Strong understanding of the Azure ecosystem - Proficient in SQL; experience with Python or Scala - Data modeling experience and understanding of KPIs' impact - Familiarity with on-prem ETL/ERP technologies (e.g., Informatica, IICS, Cognos, Netezza) - Experience with analytics platforms (Power BI, Azure ML, Synapse, Databricks) - Azure DevOps and GitHub experience preferred - Bachelor's degree in Computer Science, Engineering, or related field Other Details: - No background check or drug screen required - Start Date: 2026-08-12 ## Description Develop and support new/existing data applications and integrations - Build, enhance, and optimize data solutions using Azure Databricks - Collaborate with architects, analysts, and data scientists on data products and analytics - Design and review technical/data-flow solutions - Conduct code reviews, testing, deployment, and provide production support - Troubleshoot and resolve issues; offer technical guidance for complex data solutions - Maintain technical documentation for downstream integrations - Identify technology trends and suggest improvements - Participate in Scrum/Sprint activities