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Kql Jobs in Virginia (NOW HIRING)

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ELK / ESS Engineer

Mclean, VA · On-site

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 ...

NAOVI

Customer Service Support Specialist

Mclean, VA · On-site

Demonstrated significant experience with Microsoft Sentinel: alert monitoring, KQL log queries, entity analysis, runbooks, or escalation. * Demonstrated significant experience with Azure skills ...

Newgen

Customer Service Support Specialist

Mclean, VA · On-site

Demonstrated significant experience with Microsoft Sentinel: alert monitoring, KQL log queries, entity analysis, runbooks, or escalation * Demonstrated significant experience with Azure skills ...

Ardent Principles, Inc

Significant experience with Microsoft Sentinel: alert monitoring, KQL log queries, entity analysis, runbooks, or escalation. * Significant experience with Azure skills: portal nav, Monitor/Log ...

Ardent Principles, Inc

Significant experience with Microsoft Sentinel: alert monitoring, KQL log queries, entity analysis, runbooks, or escalation. * Significant experience with Azure skills: portal nav, Monitor/Log ...

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Kql information

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$11

$67

$126

How much do kql jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for kql in Virginia is $67.55, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $85.82 per hour, depending on experience, location, and employer.

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 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.

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 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 jobs use KQL?

Jobs that use KQL (Kusto Query Language) are typically in data analysis, cybersecurity, and IT operations roles, 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, security investigations, and data insights.

What are popular job titles related to Kql jobs in Virginia?

For Kql jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Kql jobs in Virginia look for?

The top searched job categories for Kql jobs in Virginia are:

Kql jobs near you
Infographic showing various Kql job openings in Virginia as of August 2026, with employment types broken down into 18% Internship, 46% Full Time, and 36% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $140,513 per year, or $67.6 per hour.

Customer Service Support Specialist

Mclean, VA • On-site

Bespoke Technologies LLC
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Bespoke Technologies LLCexternal

Other

Posted 9 days ago

Job description

BT-419 - Customer Service Support Specialist
Location: Tysons (fully on-site, no remote option)
**MUST HAVE A POLY CLEARANCE TO APPLY. Those without a Poly clearance will not be considered.**
Required Skills:
  • Demonstrates experience with Microsoft Sentinel and Microsoft Azure.
  • Demonstrates experience understanding enterprise network monitoring and infrastructure monitoring tools
  • Demonstrates experience identifying and performing initial troubleshooting.
  • Demonstrates experience understanding network security modeling, mapping, exposure-analysis, or network-path analysis tools.
  • Demonstrates experience working with telecommunications carriers, Internet Service Providers (ISPs), cloud providers, OEM vendors, managed service providers, or other third-party service providers.

Desired Skills:
  • Demonstrates experience leading or managing personnel within a NOC, SOC/CSOC, enterprise operations center, or comparable 24x7 technical operations environment.
  • Demonstrates progressively responsible experience in enterprise IT operations, network operations, cybersecurity operations, cloud operations, or related technical disciplines.
  • Demonstrates experience supporting a Network Operations Center (NOC), Security Operations Center (SOC/CSOC), enterprise IT operations center, or comparable technical operations environment.
  • Demonstrates significant experience with Microsoft Sentinel: alert monitoring, KQL log queries, entity analysis, runbooks, or escalation.
  • Demonstrates significant experience with Azure skills: portal nav, Monitor/Log Analytics, VMs, Resource Health, or basic networking (VNets/NSGs).
  • Demonstrates significant experience with Networking basics: TCP/IP, DNS/DHCP, subnetting, VLANs, routing, firewalls, VPNs, or LAN/WAN.
  • Demonstrates significant experience with troubleshooting outages, connectivity, packet loss/latency, or CPU/memory issues.
  • Demonstrates experience with tools for topology, paths, assets, segmentation, or vulnerabilities. Demonstrates experience with Kusto Query Language (KQL) for searching, filtering, correlating, and investigating Sentinel and Log Analytics data.

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