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# Data Engineer with SQL and Databricks Exp.-In Person Interview

- **Company:** EApps Tech LLC
- **Location:** Chicago, IL, United States
- **Salary:** $124,800.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Unit Testing, Microsoft Azure, Code Coverage, Continuous Integration, Data Validation, Extract Transform Load (ETL), Software Debugging, Python (Programming Language), SQL Azure, Performance Tuning, Azure Data Lake, SQL Databases, Systems Integration, TypeScript, Data Logging, Pulumi, Azure Data Factory, Spring-boot, Data Lakes, AngularJS, Pyspark, Integration Tests, Azure Resource Manager, Databricks
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b3eaeba695d58a7c

## About the Role

* ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.

 * SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation. Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).

 * PySpark: Distributed transformations and performance optimization (joins, partitions, debugging), CICD, Unit Test/Integration test automation, Code Coverage.

 * Azure Data Factory (ADF): Build/operate ADF pipelines, parameterization, triggers, monitoring, retry/error handling; integrate with Databricks/ADLS.

 * Databricks: Develop and operationalize notebooks/jobs/workflows; Delta Lake patterns; basic cluster/job configuration.

 * Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments

Nice to have skills: -

 * Ability to support/translate validation rules with SQL scripts and create data quality reports. TypeScript: Useful for pulumi pipeline to create Azure components.

 * Java: Useful for integration with existing services/components.

 * .NET: Useful for integration with existing services/components. Angular / Spring Boot: Minor troubleshooting or coordination with app teams.



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