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# Senior Data Engineer with Azure & Databricks

- **Company:** ApTask
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $135,000 - $150,000
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Cloud Computing, Cloud Database, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Python (Programming Language), Performance Tuning, Power BI, Standard Sql, Azure Data Lake, Data Processing, Data Ingestion, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-with-azure-databricks-plano-tx--a060c6fd-1481-4264-96b2-fd54cff28556

## About the Role

Microsoft Windows Azure, Biology, Healthcare, Process Improvement, International Business, Insurance, Automation, Cloud Computing, Financial Services, Artificial Intelligence (AI), * Strong hands-on experience in Data Engineering.

 * Strong expertise in Microsoft Azure data services.
 * Experience with Azure Data Factory (ADF).
 * Experience with Azure Synapse Analytics.
 * Strong experience with Databricks.
 * Strong SQL and data transformation skills.
 * Experience developing and optimizing ETL/ELT pipelines.
 * Good understanding of data warehousing and cloud data architecture.

Preferred Skills:

 * Experience with PySpark / Spark and Python.
 * Experience with Azure Data Lake Storage (ADLS).
 * Knowledge of Delta Lake and Lakehouse architecture.
 * Experience with CI/CD and Azure DevOps.
 * Experience with data modelling and performance optimization.
 * Exposure to Power BI and analytics platforms.
 * Microsoft Azure Data Engineer certification is a plus.

## Description

* We are looking for an experienced Senior Data Engineer with strong expertise in Azure Data Engineering and hands-on experience building scalable data pipelines and data processing solutions., * Design, develop, and maintain scalable data pipelines and data engineering solutions.
 * Develop ETL/ELT workflows using Azure Data Factory (ADF).
 * Build and optimize data solutions using Azure Synapse Analytics and Databricks.
 * Perform data ingestion, transformation, integration, and processing across multiple data sources.
 * Develop efficient and scalable data models and workflows.
 * Monitor, troubleshoot, and optimize data pipelines and data processing jobs.
 * Collaborate with data architects, analysts, developers, and business stakeholders.