> Markdown version of [/jobs/ext/4011498-azure-data-engineer](https://www.wearedevelopers.com/jobs/ext/4011498-azure-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 Data Engineer - **Company:** Artech - **Location:** Bellevue, WA, United States - **Salary:** $93,600.0 - $104,000.0 - **Contract:** Temporary contract - **Skills:** Microsoft Azure, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Microsoft SQL Server, Power BI, SQL Stored Procedures, Unstructured Data, Azure Data Factory, Pyspark, Data Management, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/824b94a7-682c-4cd3-a0a8-6a989a5b4d23/azure-data-engineer ## About the Role * Experience with SQL Server, Azure Data Factory (ADF), and Fabric * Proficiency in Power BI and Python/PySpark * Strong understanding of Azure platforms * Ability to implement and optimize ETL workflows for both structured and unstructured data * Prior work experience at client or in client's Industry Applicants must be able to work directly for Artech on W2 Preferred Skills & Qualifications * Familiarity with Power platforms * Knowledge of C# and .NET technologies * Experience in developing and supporting Power BI dashboards ## Description We are seeking a highly skilled professional to join our team as an Azure Data Engineer. This role involves designing, developing, and maintaining scalable data pipelines using Azure Data Factory and related services. The ideal candidate will have a strong background in data management and analytics, with a focus on driving continuous improvement in data processes., * Design, develop, and maintain scalable data pipelines using Azure Data Factory * Implement and optimize ETL workflows for structured and unstructured data across multiple sources * Write and manage complex SQL stored procedures, table scripts, and data transformations * Build and maintain analytical models and views for enterprise reporting * Collaborate with cross-functional teams to ensure data quality, security, and compliance