AI Data Engineer (contract)

AI Data Engineer (Contract)

Please note that this is a contract role providing services to Microsoft through external staffing partners of Allegis Global Solutions. If you are selected for this role, you will be employed by AGS and will not be an employee of Microsoft.

Summary

We are seeking an experienced AI Data Engineer to join a team focused on delivering telemetry reporting, analytics, automation, and AI-driven insights that improve visibility into service health, availability, and operational performance. This role will play a key part in developing dashboards, reporting solutions, data pipelines, automation tools, and AI-assisted analytics capabilities that help drive data-informed decision-making at scale.

The ideal candidate combines strong data engineering experience with expertise in reporting and analytics platforms, telemetry systems, automation, and modern AI-enabled solutions.

Job Responsibilities

• Design, develop, and maintain telemetry reporting, analytics, automation, and AI-assisted solutions.
• Build and enhance Power BI reports, Grafana dashboards, semantic models, and analytics solutions that provide actionable operational insights.
• Develop and optimize Azure Data Explorer (Kusto/ADX) queries, functions, scheduled tables, materialized views, snapshots, and supporting datasets.
• Integrate enterprise data sources and develop supporting SQL queries, ETL processes, and data pipelines.
• Create automation solutions using Python, PowerShell, C#, or similar languages to streamline operational and reporting activities.
• Develop AI-enabled reporting and analytics components, including Copilot Agents, agentic workflows, prompt assets, and supporting knowledge repositories.
• Validate data quality, business logic, dashboard accuracy, and refresh schedules to ensure reliable production reporting.
• Monitor, troubleshoot, and resolve data pipeline, reporting, dashboard, and production issues.
• Create technical documentation, reusable components, and engineering best practices.
• Partner with cross-functional engineering and operations teams to deliver scalable reporting and analytics solutions.
• Support telemetry health, availability monitoring, operational reporting, and service performance initiatives.

Requirements

• Reporting & Analytics (5+ Years)
• Expertise with Power BI, including data modeling and DAX.
• Experience building operational dashboards and reporting solutions.
• Experience with Grafana or similar visualization platforms.
• Knowledge of HTML/web-based reporting solutions.
• Strong analytical and problem-solving skills.
  

Data Engineering (5+ Years)

• Strong proficiency with SQL.
• Experience designing and supporting ETL processes and data pipelines.
• Hands-on experience with Azure Data Explorer (Kusto/ADX) or similar cloud analytics platforms.
• Experience integrating and transforming data from multiple enterprise sources.
• Strong understanding of data quality, performance, and scalability.

Automation, AI & Agentic Solutions (3+ Years)

• Experience developing solutions using Python, PowerShell, and/or C#.
• Experience creating automation frameworks and automated reporting processes.
• Exposure to AI-assisted engineering and analytics solutions.
• Experience with Copilot Agents, agentic platforms, or AI-driven workflow automation is highly preferred.

Preferred Qualifications

• Experience supporting telemetry health monitoring and service availability reporting.
• Knowledge of cloud-scale operational metrics and observability platforms.
• Experience developing production-ready analytics solutions in enterprise environments.
• Familiarity with modern AI and Generative AI solutions applied to reporting, analytics, and automation.
• Strong communication and stakeholder management skills.
• Ability to work independently in a fast-paced, highly collaborative environment.

Additional Details

• Location: Redmond, WA (Hybrid: 3 days/week)
• Duration: 12 months
• Pay Range*: $68.50 - $77.50 per hour
• Weekly Schedule: 40 hours
• Job Status: Non-Exempt
• Application Deadline: Apply within 72 hours of the posting date to ensure consideration.

This Role Is Eligible For The Following Benefits

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.

AGS is an Equal Opportunity Employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you require a reasonable accommodation related to the application or interview process due to a disability, please email [email protected]. This inbox is monitored solely for accommodation requests. For questions about open roles or to apply, please submit your application through the job posting, as this inbox is not monitored by recruiters and applications sent here will not be reviewed.

In accordance with the Immigration Reform and Control Act of 1986, employment is contingent upon verification of identity and authorization to work in the United States. All persons hired will be required to complete Form I-9 and provide acceptable documentation as required by law.

Please note that we may use artificial intelligence (AI) tools to screen, assess, or select applicants for this position. These tools may analyze application materials and assist our team in identifying candidates whose qualifications best match the requirements of the role. If you have questions about our use of AI in the hiring process, or would like more information, please contact us.

• We reserve the right to pay above or below the posted wage based on factors unrelated to protected classifications.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.