> Markdown version of [/jobs/ext/3691720-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/3691720-azure-data-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). --- # Azure Data Engineer - **Company:** Experis - **Location:** Baltimore, MD, United States (Remote available) - **Experience:** Expert - **Salary:** $147,680.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Cloud Platform System, Azure Data Factory, Data Lakes, Pyspark, Databricks - **Published:** October 11, 2026 - **Apply:** https://www.juju.com/job/1_manpower2-408401 ## About the Role The ideal candidate will demonstrate strong problem-solving skills, excellent communication, and a collaborative mindset, which will align successfully in the organization. **Job Title:** Sr. ## Description Data Engineer, you will be part of the Data Engineering department supporting cross-functional teams., Azure Data Engineer **Location:** Remote (Must support Eastern Time business hours) **Pay Range: $71-75/hr depending on years of experience** **What's the Job?** + Design, develop, and support scalable cloud-based data platforms and pipelines using Azure services and Databricks. + Build and maintain efficient ETL/ELT processes for structured and unstructured data sources. + Design and optimize enterprise data warehouses, data lakes, and modern analytics platforms. + Create high-quality, secure, and maintainable data solutions following engineering best practices. + Collaborate with stakeholders to translate business requirements into technical solutions and support cloud migration initiatives. **What's Needed?** + 5+ years of experience with Microsoft Azure cloud services. + 3+ years of hands-on experience with Azure Databricks. + 5+ years of experience developing solutions using PySpark. + 8+ years of experience in data warehousing and data engineering. + Advanced SQL development