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Kql Jobs in Washington (NOW HIRING)

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 ...

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 ...

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Kql information

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$12

$77

$144

How much do kql jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for kql in Washington is $77.17, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $98.03 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.

What cities in Washington are hiring for Kql jobs?

Cities in Washington with the most Kql job openings:

Infographic showing various Kql job openings in Washington as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,521 per year, or $77.2 per hour.

Data Insights & Visualization Practitioner

Accenture Federal Services

Annapolis Junction, MD

Full-time

Re-posted 10 days ago


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services


Job description

The Data Insights & Visualization Practitioner is responsible for building and maintaining data reporting solutions across Microsoft cloud environments using SQL, KQL, Kusto, Azure Data Explorer, Grafana, and PowerBI.

Responsibilities Include:

  • Create, update, and manage new and existing reports for COGs, Secure Future Initiative (SFI) KPI, buildout, and Livesite statuses from a variety of data sources, including Azure Data Explorer (Kusto) and SQL
  • Identify and collect performance metrics and Key Performance Indicators (KPIs) to identify opportunities for COGs, SFI KPI, Utilization, Capacity Planning, and Livesite improvement, and to surface business objectives and key results (OKRs) attainment
  • Identify and drive implementation of automated solutions to make COGs, SFI KPI, and Livesite processes more efficient
  • Intake, triage, and execute on new requirements from internal engineering teams
  • Conduct and manage Azure DevOps (ADO) backlog grooming

Here's what you need:

  • Bachelor of Science in CS or other related technical discipline
  • 3+ years experience
  • Must have a valid US Passport

Bonus points if you have:

  • Experience working in Microsoft Azure or AWS Cloud environments, particularly sovereign and air-gapped clouds
  • Proficiency with Power BI, Grafana, Azure Data Explorer (Kusto), KQL, and SQL
  • Experience with data visualization tools and dashboard development
  • Familiarity with ETL processes, data pipelines, and automation solutions
  • Experience with Microsoft products including Power BI, Microsoft Windows, Windows Servers, Office365, SharePoint, and Microsoft Teams
  • Experience with Azure DevOps for backlog management and intake processes
  • Knowledge of ServiceTree data, subscription hygiene, and cloud cost optimization
  • Strong analytical skills with ability to identify KPIs and performance metrics
  • Experience supporting Livesite operations and incident management reporting

Clearance Requirements:

  • Active TS/SCI with Poly
  • Active U.S. Passport required

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