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# Sr Azure Data Engineer

- **Company:** American CyberSystems
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $106,000.0 - $124,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Databases, Data Files, Data Mining, Data Vault Modeling, Dimensional Modeling, HP Systems Insight Manager, Power BI, Data Streaming, Unstructured Data, Azure Data Factory, Integration Frameworks, Azure Synapse Analytics, Data Pipelines, Databricks, Data Generation
- **Published:** September 3, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1007175&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* Hands on experience with Databricks and implementing medallion architecture
 * Hands on experience with Azure Synapse, PowerBI, Azure Data Factory, ADLS
 * Hands-on experience with Data Anonymization/Synthetic Data Generation toolsets such as Delphix, GenRocket, Securiti.

## Description

* Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams.
 * Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related software
 * Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
 * Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a various platforms to meet business requirements.
 * Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams.
 * Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered.
 * Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs.
 * Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth.


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