Senior AI Data Engineer – Telemetry Reporting & Analytics

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 design, develop, and support telemetry reporting, analytics, automation, and AI-assisted solutions that improve visibility into service health, availability, operational performance, telemetry coverage, and data quality. You will build dashboards, reports, data models, automation workflows, and analytics components that help engineering and operations teams monitor production systems, identify issues, and make data-driven decisions.

The role includes developing Power BI reports, Grafana dashboards, Kusto-based analytics, SQL queries, ETL/data pipelines, and AI-enabled reporting components. You will also validate production solutions, troubleshoot reporting and data issues, support scheduled refreshes, maintain documentation, and collaborate with cross-functional teams to deliver reliable and scalable analytics solutions.

Responsibilities

Design, develop, enhance, validate, maintain, and support telemetry reporting, analytics, automation, and AI-assisted solutions.

Build and maintain Power BI reports, Grafana dashboards, semantic models, and analytics solutions that deliver actionable business and operational insights.

Develop, optimize, and maintain Azure Data Explorer/Kusto queries, functions, data models, scheduled tables, materialized tables, snapshot tables, and supporting datasets.

Integrate enterprise data sources and develop SQL queries, ETL processes, and data pipelines needed for reporting and analytics solutions.

Create automation solutions using Python, PowerShell, C#, or similar scripting/programming languages to streamline operational tasks and business processes.

Develop AI-enabled reporting and analytics components, including agent-based workflows, prompt assets, knowledge files, and automated reporting capabilities.

Validate data quality, business logic, report accuracy, dashboard performance, and scheduled refreshes to ensure reliable production solutions.

Monitor, troubleshoot, and resolve data pipeline, query, reporting, dashboard, and production issues.

Create and maintain technical documentation, reusable components, and engineering best practices to support long-term maintainability.

Collaborate with engineering, operations, and business stakeholders to deliver scalable, high-quality analytics and reporting solutions.

Support continuous improvement of telemetry visibility, telemetry availability, clean telemetry, and telemetry data quality.

Qualifications

5+ years of experience in reporting and analytics, including Power BI, data modeling, DAX, Grafana or similar reporting platforms, and web-based reporting.

5+ years of experience in data engineering, including SQL, ETL/data pipelines, data modeling, and cloud-based analytics platforms.

3+ years of experience with automation, scripting, or application development using Python, PowerShell, C#, or similar languages.

Hands-on experience developing dashboards, reports, analytics models, and operational reporting solutions.

Experience building and optimizing Kusto/ADX queries or working with similar large-scale analytics/query platforms.

Experience integrating enterprise data sources and supporting data pipelines for analytics and reporting use cases.

Experience validating report accuracy, business logic, data quality, and production refresh processes.

Ability to troubleshoot production issues related to data p…