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

Who is Blueprint? We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do? Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. Why Blueprint? At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. In This Role In this role, you will build and maintain automation tooling that supports industrial telemetry onboarding and data standardization. You will develop C#/.NET-based applications and services that transform device templates and historical tag data into structured configuration outputs used by downstream cloud data pipelines. A key part of the role involves applied machine learning, including developing and refining classification models that help map telemetry tags to the correct template fields. You will work with historical datasets, improve model accuracy and coverage, validate telemetry data end-to-end, and help reduce manual onboarding effort through automation. You will also support modernization efforts for legacy systems, troubleshoot production issues, document your work, and collaborate with engineering and data teams to deliver reliable, maintainable solutions. 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. Qualifications 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. Preferred Qualifications 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. Salary Range At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $50– $53 per hour. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Equal Opportunity Employer Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. If you need assistance or a reasonable accommodation to complete the application process, please reach out to: View email address on click.appcast.io Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: Medical, dental, and vision coverage Flexible Spending Account 401k program Competitive PTO offerings Parental Leave Opportunities for professional growth and development Location: Remote