Software Engineer – C#/.NET, Applied ML & Data Automation

Blueprint is a technology solutions firm headquartered in Bellevue, Washington, focused on leveraging technology to create additional revenue streams for organizations. In this role, you will build and maintain automation tools and develop C#/.NET applications while applying machine learning to improve data processes and reduce manual onboarding efforts.

Responsibilities:

• Design, develop, test, and maintain C#/.NET automation tools, including console applications and Worker Services
• Build tooling that converts Excel-based device templates into structured CSV, configuration, or pipeline-ready outputs
• Develop and refine applied machine learning models for telemetry tag classification and template-field mapping
• Perform feature engineering and data preparation using messy historical industrial controls and telemetry datasets
• Prototype ML or data-processing approaches in Python when appropriate, then help transition production logic into the core C#/.NET stack
• Validate telemetry data quality and mapping accuracy across cloud-based data pipelines
• Work with Azure IoT, Event Hub, Kusto/KQL, and related data services to troubleshoot and verify end-to-end data flow
• Modify, maintain, and enhance existing databases, database structures, and legacy systems as needed
• Partner with stakeholders to gather requirements, estimate scope, and deliver solutions from development through testing and release
• Identify opportunities to reduce manual processes, improve onboarding efficiency, and increase automation reliability
• Troubleshoot issues, perform root-cause analysis, and make system changes to resolve defects or data-quality problems
• Write technical documentation and provide knowledge transfer so delivered tooling can be maintained long-term
• Mentor or support teammates through code reviews, technical guidance, and constructive feedback

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• 5–7 years of software engineering experience
• 5+ years of hands-on C#/.NET development experience
• Experience building production-ready tooling, services, console applications, or backend automation workflows
• 3+ years of applied machine learning or classification experience
• Experience with text or tabular classification models using tools such as ML.NET, scikit-learn, embeddings, or similar approaches
• Strong SQL and database development experience, including modifying existing database structures or systems
• Experience working across the full software development lifecycle, including requirements gathering, design, development, testing, delivery, and support
• Ability to troubleshoot complex technical issues and independently drive them to resolution
• Strong verbal and written communication skills
• Ability to work independently, manage time effectively, and deliver against project commitments
• Experience documenting technical work and supporting maintainability of delivered solutions
• Experience with industrial control systems, telemetry systems, device data, or operational technology environments
• Experience with Azure IoT, Event Hub, Kusto/KQL, or similar cloud data-plane technologies
• Experience building automation that transforms templates, configuration files, CSV outputs, or structured operational data
• Experience improving legacy systems and modernizing manual or spreadsheet-driven workflows
• Experience with feature engineering on historical, inconsistent, or messy datasets
• Familiarity with lightweight MLOps practices, including model evaluation, retraining, deployment, or monitoring
• Experience using Azure DevOps or similar work-tracking and delivery tools
• Familiarity with AI-enabled developer tools, copilots, agents, or MCP-style patterns
• Strong process-improvement mindset with a demonstrated ability to challenge existing workflows and propose better solutions
• Stable work history and a track record of seeing projects through from prototype to production