Senior AI Data Engineer – Telemetry & Analytics

Team Red Dog•Redmond, WA

21h•Hybrid

About The Position

Team Red Dog is hiring a Senior AI Data Engineer – Telemetry & Analytics for our client, a next-generation cloud platform company and AI-driven technology organization. In this highly visible role, you'll design and deliver enterprise-scale telemetry reporting, analytics, automation, and AI-powered solutions that improve service health, operational visibility, and data quality across large-scale cloud environments. You'll build modern reporting solutions using Power BI, Grafana, Azure Data Explorer (Kusto), Python, and Copilot technologies while partnering with engineering teams to transform complex telemetry data into actionable insights. This is an outstanding opportunity to work across the full data lifecycle, leveraging cloud analytics, automation, and AI to influence operational excellence at enterprise scale.

Requirements

5+ years of experience developing enterprise reporting and analytics solutions using Power BI and data visualization platforms such as Grafana.
5+ years of experience with SQL, Azure Data Explorer (Kusto), data modeling, ETL processes, and data pipeline development.
3+ years of experience developing automation using Python, PowerShell, C#, or similar programming languages.
Experience designing semantic models, DAX calculations, and enterprise reporting architectures.
Experience developing AI-assisted reporting solutions, Copilot technologies, agent-based automation, or similar AI capabilities.
Experience supporting telemetry, monitoring, operational reporting, or service health platforms.
Strong troubleshooting, analytical thinking, and problem-solving skills.
Experience using Azure DevOps and working within agile engineering environments.
Excellent collaboration and communication skills with the ability to partner across engineering organizations.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
All applicants must be authorized to work in the U.S. without the need for sponsorship.

Nice To Haves

Successful candidates bring deep hands-on experience building enterprise telemetry, reporting, and analytics solutions rather than simply consuming reports.
They have a strong background in Power BI, Grafana, SQL, Kusto, data engineering, and automation while also demonstrating experience with AI-assisted engineering, Copilot technologies, or agent-based solutions.
They are comfortable owning solutions from design through production support, proactively improving data quality, reliability, and operational visibility while collaborating effectively across engineering teams in large-scale cloud environments.

Responsibilities

Design, develop, and maintain enterprise telemetry reporting, analytics, automation, and AI-assisted solutions.
Build and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions that deliver actionable operational insights.
Develop and optimize Azure Data Explorer (Kusto) queries, functions, materialized tables, scheduled tables, snapshot tables, and supporting datasets.
Design and maintain SQL queries, ETL processes, and data pipelines that integrate enterprise data sources for reporting and analytics.
Develop automation using Python, PowerShell, C#, or similar technologies to improve operational efficiency.
Create AI-enabled reporting and analytics components including Copilot Agents, prompt assets, knowledge files, and related automation capabilities.
Validate data quality, business logic, dashboards, scheduled refreshes, and production reporting solutions to ensure accuracy and reliability.
Monitor, troubleshoot, and resolve reporting, data pipeline, query, and production issues.
Create technical documentation, reusable components, and engineering best practices that support long-term maintainability.
Partner with cross-functional engineering teams to deliver scalable, high-quality analytics and reporting solutions.