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Kql Jobs (NOW HIRING)

Develop, optimize, and maintain KQL queries, analytics rules, detection rules, alerts, workbooks, and dashboards. * Develop automated security response workflows using Azure Logic Apps and Microsoft ...

Leverage Kusto Query Language (KQL) to analyze telemetry, logs, and metrics to diagnose production issues. * Troubleshoot complex integrations across distributed systems, including APIs, event-driven ...

Own detection engineering and IR day to day -- KQL detections in Log Analytics, Azure Monitor dashboards, SIEM forwarding via Event Hub, and incident.io alerting and runbooks. The Security Lead steps ...

Use Guardz AI agents, Google BigQuery, and query languages such as SQL and KQL to triage, hunt across high-volume logs, and confirm incident scope at machine speed. * Partner with MSPs on major ...

Utilize aggregations, date histograms, and filters (KQL) to analyze large datasets and ensure fast dashboard response times. * Alerting & Monitoring: Set up threshold-based alerts (Watcher) and ...

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KQL information

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$11

$68

$127

How much do kql jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for kql in the United States is $68.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $86.54 per hour, depending on experience, location, and employer.

How does a KQL (Kusto Query Language) specialist typically collaborate with security and operations teams in an organization?

A KQL specialist often works closely with security analysts, IT operations, and data engineering teams to develop queries that extract actionable insights from large datasets, such as those in Azure Monitor or Microsoft Sentinel. They help translate business or security requirements into effective queries, visualize data trends, and automate alerting mechanisms. Regular collaboration is essential for troubleshooting issues, optimizing query performance, and ensuring that dashboards and reports accurately reflect organizational needs. This teamwork enables rapid detection and response to incidents, as well as continuous improvement of monitoring solutions.

What is a KQL search?

A KQL (Kusto Query Language) search is a method used by data analysts and security professionals to query large datasets within Microsoft Azure Data Explorer or Azure Sentinel. It involves writing structured queries to filter, analyze, and visualize data efficiently, often requiring familiarity with syntax and operators specific to KQL.

What is the difference between Kql vs Log Analyst?

AspectKqlLog Analyst
Required CredentialsKnowledge of Kusto Query Language, certifications in data analysis or cloud platformsExperience with log analysis, certifications in cybersecurity or IT support
Work EnvironmentPrimarily cloud-based, data analytics platforms, security monitoringIT departments, cybersecurity teams, network operations centers
Employer & Industry UsageTech companies, cloud service providers, security firmsIT firms, cybersecurity agencies, enterprise IT departments
Search & Comparison IntentUnderstanding Kql for data querying and analysisComparing roles in log analysis and security monitoring

While both Kql and Log Analyst roles involve working with data and logs, Kql focuses on writing queries using the Kusto Query Language for data analysis in cloud environments. Log Analysts interpret and manage log data for security and troubleshooting. The roles often overlap but differ mainly in technical focus and tools used.

What are the key skills and qualifications needed to thrive as a KQL (Kusto Query Language) specialist?

To thrive as a KQL Specialist, you need strong expertise in data analysis, proficiency with Kusto Query Language, and experience with data visualization and log analytics platforms, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure Monitor, Azure Data Explorer, and related certification such as Microsoft Certified: Azure Data Fundamentals is common. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data insights and collaborating with cross-functional teams. These skills are essential for extracting actionable intelligence from large datasets and supporting informed business decisions.

What is a KQL (Kusto Query Language) developer?

KQL (Kusto Query Language) developers are professionals who specialize in writing and optimizing queries using KQL, primarily for Microsoft Azure Data Explorer, Log Analytics, and other services that use Kusto databases. Their responsibilities include designing data queries, building dashboards, analyzing large datasets, and troubleshooting issues within the data pipelines. KQL developers are skilled in constructing efficient queries to retrieve, manipulate, and visualize data, helping organizations gain insights from their logs and telemetry. They often work closely with data engineers, analysts, and IT teams to ensure accurate and actionable data reporting.

What jobs use KQL?

Jobs that use KQL (Kusto Query Language) are typically found in roles involving data analysis, cybersecurity, and IT operations, such as security analysts, data analysts, and cloud engineers. These professionals use KQL to query large datasets in platforms like Azure Data Explorer and Microsoft Sentinel for monitoring, troubleshooting, and security investigations.
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Cities with the most Kql job openings:

What are the most commonly searched types of Kql jobs?

The most popular types of Kql jobs are:

What states have the most Kql jobs?

States with the most job openings for Kql jobs include:

Infographic showing various Kql job openings in the United States as of August 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $141,728 per year, or $68.1 per hour.

Microsoft Sentinel Subject Matter Expert

2T Consulting

Smyrna, GA

Full-time

Posted 5 days ago


Job description

We are seeking an experienced Microsoft Sentinel Subject Matter Expert (SME) to design, implement, optimize, and manage Microsoft Sentinel and Azure security solutions. The role will focus on SIEM/SOAR engineering, threat detection, incident response, security automation, cloud security, and compliance across enterprise Azure environments.

Roles and Responsibilities
  • Design, implement, configure, and manage Microsoft Sentinel SIEM/SOAR solutions.
  • Integrate security data sources into Azure Log Analytics, including Syslog, CEF, APIs, and threat intelligence feeds.
  • Develop, optimize, and maintain KQL queries, analytics rules, detection rules, alerts, workbooks, and dashboards.
  • Develop automated security response workflows using Azure Logic Apps and Microsoft Copilot for Security.
  • Perform threat hunting, incident investigation, detection engineering, and response activities in collaboration with SOC teams.
  • Implement and manage Azure security controls aligned with Zero Trust principles.
  • Configure and secure enterprise Azure environments, including identity, access, monitoring, and security services.
  • Assess vulnerabilities, analyze attacker TTPs, and support remediation and security improvement initiatives.
  • Integrate and manage Microsoft Defender XDR, including Defender for Endpoint, Office 365, Identity, and Cloud Apps.
  • Support cloud security governance, compliance, risk assessments, and audit activities.
  • Provide technical guidance on security architecture, SIEM/SOAR strategy, detection engineering, and cloud security initiatives.
  • Develop security standards, operational procedures, and best practices for Sentinel and Azure security services.
  • Collaborate with Security Operations, Cloud Engineering, Identity, Application Security, and Governance teams.
Required Qualifications
  • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field.
  • 5+ years of cybersecurity experience, including strong hands-on experience with Microsoft Sentinel engineering and administration.
  • Strong expertise in:
    • Microsoft Sentinel
    • Azure Log Analytics
    • Kusto Query Language (KQL)
    • Azure Logic Apps
    • Microsoft Defender XDR
    • Azure Security and Identity Services
    • Microsoft Entra ID
    • Privileged Identity Management (PIM)
    • Conditional Access
    • Security monitoring and incident response
    • CI/CD security and application security scanning
  • Strong understanding of SIEM/SOAR, threat detection, threat hunting, incident response, and security automation.
  • Experience implementing security controls in enterprise Azure environments.
  • Strong knowledge of Zero Trust architecture and cloud security best practices.
Preferred Qualifications
  • Experience with Azure Government / Government Cloud environments.
  • Experience with FISMA, FedRAMP, and NIST security and compliance frameworks.
  • Relevant certifications such as CISSP, CCSP, Microsoft Certified: Azure Security Engineer Associate, or Microsoft Certified: Cybersecurity Architect Expert.
  • Experience working with security auditors, compliance teams, and executive stakeholders.