Data Engineer (.NET / C#) - Redmond, WA

Job: Data Engineer (.NET / C#) - Redmond, WA

Position Type: Full-Time (FTT)

Location: Redmond, WA

Job Summary

We are seeking a skilled Data Engineer with strong experience in C#/.NET or Python, data integration, ETL development, and cloud-based data platforms. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, integrating data from multiple sources, developing dashboards, and ensuring data quality across enterprise systems.

Required Skills

• 5+ years of experience in C#/.NET or Python development
• 5+ years of experience with database technologies, including:
• SQL Server
• Cosmos DB
• KQL (Kusto Query Language)
• 2+ years of experience in:
• ETL development (Azure Data Factory, Python, or similar tools)
• Log analysis and monitoring tools (Kusto, Application Insights, Grafana, SQL)
• 3+ years of experience developing and maintaining Power BI dashboards
• Experience with Azure DevOps, APIs, and workflow integrations
• Strong analytical and problem-solving skills
• Ability to work with large and complex datasets to drive business insights

Key Responsibilities

• Design, develop, and maintain robust data pipelines for real-time and batch data processing.
• Integrate data from internal and external sources, including APIs, data lakes, and third-party applications.
• Implement data validation, monitoring, and automated testing to ensure data quality and consistency.
• Analyze data-related issues, perform root-cause analysis, and implement effective solutions.
• Build and maintain Power BI dashboards and reporting solutions.
• Work closely with engineering and business teams to deliver scalable data solutions.
• Support data governance, performance optimization, and operational excellence initiatives.
• Utilize Azure DevOps for deployment automation and release management.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• Experience with Azure cloud services and modern data engineering practices.
• Familiarity with Application Insights, Grafana, and observability tools.
• Strong understanding of APIs, workflow automation, and enterprise data integration.

C#, .NET, Python, SQL, Cosmos DB, KQL, Azure Data Factory, ETL, Data Engineering, Power BI, Azure DevOps, APIs, Data Integration, Application Insights, Grafana, Log Analytics, Azure Cloud.