> Markdown version of [/jobs/ext/3747587-azure-databricks-data-engineer](https://www.wearedevelopers.com/jobs/ext/3747587-azure-databricks-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 Databricks Data Engineer - **Company:** Databricks - **Location:** Warren, MI, United States - **Experience:** Experienced - **Salary:** $104,000.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Github, Python (Programming Language), Power BI, Standard Sql, Data Streaming, Unstructured Data, Azure Data Factory, Retrieval-Augmented Generation, Snowflake, Apache Spark, Generative AI, Microsoft Fabric, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Collibra, Apache Kafka, Terraform, Data Pipelines, Databricks - **Published:** October 15, 2026 - **Apply:** https://www.dice.com/job-detail/05cd66db-4321-4bd2-b8f0-a4577303a143 ## About the Role * 5+ years of Data Engineering experience * 5+ years of Azure Data Engineering experience * 4+ years of hands-on Azure Databricks experience * Strong experience with Apache Spark / PySpark * Expertise in Python and SQL * Experience building ETL/ELT pipelines * Strong knowledge of Delta Lake and Lakehouse architecture * Experience with Data Modeling and Data Warehousing * Cloud experience in Azure (preferred) ## Description * Design and maintain scalable data pipelines using Azure Databricks and Spark. * Develop and optimize ETL/ELT workflows for large-scale datasets. * Build and manage Lakehouse-based data solutions. * Implement data quality, governance, and security best practices. * Optimize Spark workloads for performance and cost efficiency. * Integrate structured and unstructured data from multiple sources. * Support CI/CD processes and infrastructure automation. * Collaborate with Analytics, BI, AI/ML, and business teams. Preferred Skills * Unity Catalog * Azure DevOps / GitHub Actions * Terraform * Kafka / Azure Event Hubs * Snowflake * Power BI * Microsoft Fabric * Azure Purview * Generative AI and RAG architecture exposure