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# Software Development Engineer 2

- **Company:** Experis
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Salary:** $81,120.0 - $87,360.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Cloud Storage, Azure Data Factory, GitHub Copilot, Cosmos DB, GPT, Serverless Computing
- **Published:** September 10, 2026
- **Apply:** https://www.experis.com/en/job/411142/software-development-engineer-2

## About the Role

Our client, a leading technology organization, is seeking a Software Development Engineer 2 to join their team. As a Software Development Engineer 2, you will be part of the Applications Development & Testing department supporting the Studios Quality team. The ideal candidate will have strong problem-solving skills, excellent collaboration abilities, and a passion for innovative engineering, which will align successfully in the organization., + Minimum of 5 years' experience in professional software or data engineering roles.

 + Strong programming skills in C# and experience writing production-quality, maintainable, and testable code.
 + Experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate engineering tasks responsibly.
 + Proficiency with SQL/KQL and designing data processing pipelines.
 + Hands-on experience with Azure cloud services such as Azure App Service, Azure Data Factory, Azure Functions, Storage Accounts, or Azure Cosmos DB.

## Description

+ Design and implement scalable, maintainable, and well-tested data engineering solutions using modern engineering best practices.
 + Leverage AI-assisted development tools to enhance productivity while ensuring high standards for code quality, reliability, security, and performance.
 + Review, validate, debug, and optimize AI-generated code and system designs to meet project requirements.
 + Apply core computer science principles such as data structures, algorithms, object-oriented design, and system architecture to solve complex engineering problems.
 + Develop automated testing, monitoring, and quality validation processes for data pipelines and services to ensure robustness and efficiency.


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