Senior Azure Endpoint Automation Engineer

Job Title:          Senior Azure Endpoint Automation Engineer
Location:         Remote USA
Position:          6-Month Contract – W2 or Direct C2C

 Join a Renowned Global Organization!

TalentFish is currently seeking a hands-on Senior Azure Endpoint Automation Engineer for our premier global client. This is a remote 6+ month contract opportunity. Candidates must be eligible to work direct on W2 or through their own corporation (C2C). No third-party agencies or subcontract vendors will be considered at this time.

Overview
Our client is seeking a Senior Azure Endpoint Automation Engineer. The organization has completed the design and initial Proof-of-Concept for a centralized Microsoft “Device and Fleet-Health” reporting solution. A Senior Automation Engineer is needed to build, productionize, secure, and stabilize this solution.

• The Senior Azure Endpoint Automation Engineer will integrate device, compliance, Endpoint Analytics, Windows Update, and Microsoft 365 service-health data from various Microsoft platforms, including Microsoft Intune, Microsoft Graph, and others.
• The data will be centralized within Azure Log Analytics and made available to a consolidated Power BI fleet-health dashboard.

Ideal Candidate

• This is not a traditional Azure infrastructure role or a Power BI development position. The ideal candidate brings a strong combination of Microsoft Intune, Azure automation, endpoint analytics, Microsoft Graph, Log Analytics, KQL, and Microsoft 365 engineering experience.

What You Bring to the Role. (Ideal Experience)

• 7+ years of experience in Azure engineering, Microsoft cloud engineering, endpoint engineering, or a closely related role.
• Strong, hands-on experience with Microsoft Intune, including:
• Device and compliance data
• Intune diagnostic settings configuration
• Endpoint Analytics
• Windows endpoint telemetry and reporting
• Advanced experience with Azure Monitor and Azure Log Analytics, including workspace configuration, data ingestion, diagnostic settings, custom tables, and troubleshooting.
• Strong experience writing and optimizing Kusto Query Language (KQL) queries.
• Hands-on automation experience using PowerShell and Azure Automation runbooks.
• Experience retrieving and integrating data through Microsoft Graph API or Microsoft Graph PowerShell.
• Experience with REST APIs, JSON payloads, authentication, pagination, throttling, retries, and error handling.
• Experience with Windows Update for Business reporting, Windows update compliance, or enterprise Windows patching telemetry.
• Experience configuring secure Azure integrations using Managed identities, Azure RBAC, and Microsoft Entra ID.
• Service principals or application registrations.
• Experience using the Azure Monitor Logs Ingestion API, Data Collection Rules, or comparable Azure ingestion technologies.
• Experience deploying, validating, or supporting Azure Workbooks.
• Understanding of how Azure Monitor and Log Analytics data is connected to Power BI for operational reporting.
• Familiarity with Microsoft 365 service-health reporting, Teams call-quality data, application-usage reporting, or related M365 administration and analytics.
• Demonstrated experience taking a technical solution from proof of concept through production deployment and post-launch stabilization.
• Strong troubleshooting, documentation, communication, and cross-functional collaboration skills.

Core Required Technical Skills

• Azure Automation
• PowerShell
• Log Analytics and data ingestion
• Microsoft Graph
• Microsoft Intune (telemetry) and Endpoint Analytics
• Azure Monitor
• Kusto Query Language (KQL)
• Windows Update for Business
• Microsoft 365 service-health reporting
• Managed identities, RBAC, and Entra ID
• Azure-to-Power BI data integration

Preferred Qualifications

• Microsoft Azure or Microsoft 365 certifications.
• Experience with Digital Employee Experience, endpoint-experience, or device fleet-health solutions.
• Experience with Azure Workbooks, Power BI operational dashboards, or Microsoft Fabric.
• Knowledge of Teams call-quality reporting and Microsoft 365 usage analytics.
• Experience working within a large, distributed enterprise environment.
• Experience supporting a solution through deployment, hypercare, and operational handoff.

What Success Looks Like
The successful Senior Azure Automation Engineer will take an existing design and validated proof-of-concept work, and turn it into a secure, automated, production-ready solution. The completed environment will provide centralized visibility into device health, compliance, Endpoint Analytics, Windows updates, and Microsoft 365 service health through Azure and Power BI.

What You'll Do

• Review the approved architecture, validated proof-of-concept components, and existing technical requirements.
• Build and productionize a centralized device and fleet-health reporting solution.

• Configure Microsoft Intune diagnostic settings to send device and compliance information into Azure.
• Retrieve Endpoint Analytics and related Microsoft data through PowerShell and Microsoft Graph.
• Develop scheduled Azure Automation runbooks to automate recurring data collection.
• Use the Logs Ingestion API and related Azure services to securely send data into the Log Analytics workspace.
• Configure and maintain Log Analytics tables for:

• Intune device and compliance information
• Endpoint Analytics snapshots
• Windows Update for Business reporting

• Integrate Windows Update for Business data to provide visibility into patching, deployment, and update compliance.
• Write and optimize KQL queries that support device-health analysis, data validation, troubleshooting, and reporting.
• Configure managed identities, RBAC, and related security controls for automated integrations.
• Deploy, validate, and troubleshoot Azure Workbooks and monitoring components.
• Prepare and connect Azure Monitor and Log Analytics data for consumption by the Power BI fleet-health dashboard.
• Support the integration of Microsoft 365 service-health, Teams call-quality, and application-usage data through available native Power BI connectors.
• Validate data accuracy, completeness, ingestion timing, and reporting consistency across all source systems.
• Identify and resolve issues involving automation, Microsoft Graph, authentication, schemas, APIs, telemetry, and data ingestion.
• Partner with endpoint, Microsoft 365, Azure, identity, security, and business-intelligence teams.
• Document the architecture, scripts, configurations, data flows, support procedures, and troubleshooting processes.
• Provide post-production monitoring, aftercare, knowledge transfer, and stabilization support.

Compensation and Employment
This role requires authorization to work in the U.S. without current or future visa sponsorship. The expected hourly rate for this position is $60 - $70 per hour W2, depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.
All offers are contingent upon the completion of a background check, which may include but is not limited to reference checks, education verification, employment verification, drug testing, criminal records checks, and any required certifications or compliance requirements based on the end client's background check policies and applicable laws.
TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI, video screening, and our unique platform. TalentFish focuses on providing the best employee, consultant, and client experience possible. At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity.