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# Senior Data Engineer (FTE)

- **Company:** Cittabase Solutions Inc
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Cloud Database, Data Architecture, Extract Transform Load (ETL), Data Mining, Data Warehousing, Microsoft SQL Server, Power BI, Azure Data Lake, SQL Server Integration Services, SQL Server Analysis Services, Data Processing, Data Storage Technologies, Cloud Platform System, Azure Data Factory, Microsoft Fabric, Data Management, Data Pipelines, Databricks
- **Published:** July 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=38e6a56c665cc0a1

## About the Role

* 5+ Years in Data warehouse development and Data pipeline development
 * Experience in SQL Server/Azure Fabric, SSIS, ADF and PowerBI
 * Experience in Medallion Architecture
 * Familiarity with Azure services for data management
 * Ability to analyze complex datasets and present findings effectively
 * Certified in Microsoft Fabric techstack
 * Only US Citizens/Residents apply

## Description

We are seeking a talented Senior Data Engineer to join our team with experience across Microsoft SQL Server, Microsoft Fabric and Databricks. You'll be part of a team delivering modern data pipelines and cloud platform solutions for enterprise clients., * Proven experience in data schema design, data modeling and data pipeline development

 * Experience delivering ETL/ELT solutions for importing data from a wide variety of sources
 * Experience working with Microsoft SQL Server / Azure Products: SSIS, SSAS, Microsoft Fabric, Azure Data Factory, Azure DevOps, PowerBI, etc.
 * Experience designing and building cloud data architecture to facilitate data pipelines and analysis workflows within a cloud environment (preferably Microsoft Fabric)
 * Analyze user requirements for reports, forms, queries, and data extraction
 * Develop and deploy end-user practices and tools for data extraction, queries, and data manipulation in accordance with business processes
 * Utilize Azure services for data storage, processing, and analysis
 * Work with Azure Data Lake for big data processing and analytics
 * Analyze data using various tools to provide insights for business stakeholders
 * Develop Power Automation Scripts for automation and efficiency in data processing
 * Deep understanding of data architecture and pipeline design


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