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Kql Jobs in Washington (NOW HIRING)

Guardz

MDR Manager

Washington, DC · On-site

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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$12

$77

$144

How much do kql jobs pay per hour?

As of Sep 5, 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.

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 Washington?

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

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

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

What cities in Washington are hiring for Kql jobs?

Cities in Washington with the most Kql job openings:

Kql jobs near you
Infographic showing various Kql job openings in Washington as of August 2026, with employment types broken down into 16% Internship, 47% Full Time, and 37% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $160,521 per year, or $77.2 per hour.

MDR Manager

Guardz

Washington, DC • On-site

Full-time

Re-posted 12 hours ago

Key responsibilities

  • Oversee day-to-day MDR operations, including shift coverage, tiering, escalation paths, and quality assurance.

  • Lead, coach, and mentor MDR Analysts through performance feedback, onboarding, training, and incident reviews.

  • Serve as the final escalation point for complex T3 security incidents and lead investigations through full lifecycle.

Job description

Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $85M in funding and rallying a dedicated team of 120 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one platform, and continue to grow and expand our team, our partnerships and our revenue.

We are looking for an experienced MDR Manager to lead our Security Operations team. The ideal candidate combines strong technical expertise with operational leadership and enjoys developing analysts, improving processes, and managing complex security incidents across multi-tenant MSP environments.

As a hands-on leader, you will oversee day-to-day MDR operations, including coverage, SLAs, quality, escalation tiers, and analyst development. You will also serve as the final escalation point for Tier 3 threats and lead the team through the most complex investigations.

Responsibilities:

  • Own 24/7 shift coverage, tiering, and escalation paths so every alert reaches the right analyst and there are no gaps in monitoring or escalation. Participate in an on-call rotation with the team.
  • Own response SLAs (time-to-triage, time-to-notify, MTTR) and report SOC KPIs (MTTD, MTTR, detection efficacy, false-positive rate, case aging, customer satisfaction) to leadership.
  • Run QA on closed alerts and incidents, drive down false positives, and maintain the teams runbooks, playbooks, and SOC standards.
  • Lead, coach, and mentor MDR Analysts: regular 1:1s, performance feedback, onboarding, and the T1-to-T3 training path. Run tabletop exercises and post-incident reviews.
  • Act as technical lead and final escalation point for T3 incidents (advanced malware, identity threats like MFA fatigue and token theft, active breaches), leading the full lifecycle with defensible documentation.
  • Correlate alerts across EDR (SentinelOne, Defender for Endpoint), ITDR (M365, Google Workspace), and email security, and run proactive threat hunts aligned to MITRE ATTCK.
  • 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 incidents and posture reviews, and feed findings back into detection with product, threat research, and engineering.

Requirements:

  • 5+ years in SOC, MDR, or Incident Response handling complex attacks, including 2+ years as a Team Lead, Shift Lead, or senior.
  • Hands-on expertise with EDR (SentinelOne, CrowdStrike, Defender for Endpoint) and ITDR (identity threat management across M365 and Google Workspace).
  • Hands-on experience with Google BigQuery, Snowflake, Splunk, Elastic, or equivalent, and fluency in a query language such as SQL, KQL, or SPL.
  • Experience with MITRE ATTCK-aligned detection, proactive threat hunting, and AI-driven triage engines, automated playbooks, or agentic SecOps platforms.
  • Excellent communication skills, able to make high-risk technical findings clear to both technical and non-technical audiences.
  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or equivalent hands-on experience.
  • Preferred: CompTIA Security+, CompTIA CySA+, Microsoft SC-200, GIAC GCIH / GCIA / GCFA, or CISSP (or equivalent DoD 8570 / 8140 IAT Level II).