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

BPCS, Comprehensive marketing solutions, ltd.

Software Engineer developing C#/.NET automation tooling and applied machine learning models. Collaborating with engineering and data teams at Blueprint Technologies to deliver reliable, maintainable solutions.

Posted 7/6/2026full-timeRemote • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $50 - $53 per hourWebsite

Tech Stack

Tools & technologies

AzureCloudIoT.NETPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Medical, dental, and vision coverage
Flexible Spending Account
401k program
Competitive PTO offerings
Parental Leave
Opportunities for professional growth and development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C#.NETMachine LearningSQLData ProcessingFeature EngineeringTelemetry Data ValidationConsole ApplicationsBackend AutomationData Quality Troubleshooting

Soft Skills

Verbal CommunicationWritten CommunicationTime ManagementIndependent WorkMentoring