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Kql Jobs (NOW HIRING)

Infrastructure Engineer

Lansing, MI · On-site +1

$109K - $143K/yr

Run multi-device queries at scale: use Intune Advanced Analytics - Device query for multiple devices (KQL) to answer fleet-wide questions (e.g., drivers, firmware, crash patterns) and drive ...

Experience implementing observability (App Insights, Log Analytics/KQL) and CI/CD with Azure DevOps. Nice to Have (including Certifications) * RAG evaluation frameworks (e.g., Ragas), custom golden ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL. * Define and enforce coding standards, code review practices, branching strategies, and ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL. * Define and enforce coding standards, code review practices, branching strategies, and ...

The ideal candidate brings strong experience in observability platforms such as Dynatrace and Azure Application Insights, advanced KQL-based diagnostics, and the ability to troubleshoot complex ...

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 ...

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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How much do kql jobs pay per hour?

As of Jun 11, 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.

Where are jobs in SQL Server?

Jobs in SQL Server are available across various industries and locations, often in IT, data management, and database administration roles. These positions typically require knowledge of SQL, database management, and sometimes certifications like Microsoft Certified: Azure Data Engineer Associate. Opportunities can be found in both remote and on-site environments, depending on the employer.

What is a KQL job?

A KQL job typically involves working with Kusto Query Language (KQL), which is used to query and analyze large datasets in Microsoft Azure services like Azure Monitor, Log Analytics, and Application Insights. Professionals in this role often write and optimize KQL queries to extract insights from logs and telemetry data. They may work as data analysts, security analysts, or cloud engineers, using KQL to troubleshoot issues, monitor system performance, and create reports. Strong analytical skills and experience with Azure environments are usually required for this job.

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 can big data do?

Big data roles include data analyst, data engineer, data scientist, and business intelligence analyst. These jobs involve analyzing large datasets, developing data pipelines, and creating insights to support decision-making, often requiring skills in SQL, Python, or Hadoop. Professionals in these roles work in various industries such as finance, healthcare, and technology.

What are the key skills and qualifications needed to thrive as a KQL (Kusto Query Language) Specialist, and why are they important?

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 are KQL (Kusto Query Language) developers?

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 is a KQL job in Sentinel Data Lake?

A KQL job in Sentinel Data Lake involves writing and executing Kusto Query Language (KQL) queries to analyze and retrieve data stored within Azure Sentinel's data platform. These roles typically require knowledge of data analysis, security monitoring, and familiarity with Azure services and KQL syntax. The job focuses on creating queries for threat detection, incident investigation, and security analytics.

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.
More about Kql jobs
What cities are hiring for Kql jobs? 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 June 2026, with employment types broken down into 2% Internship, 78% Full Time, and 20% Contract. Highlights an 74% In-person, 14% Hybrid, and 12% Remote job distribution, with an average salary of $141,728 per year, or $68.1 per hour.
Infrastructure Engineer

Infrastructure Engineer

FastTek

Lansing, MI • On-site, Remote

$109K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Infrastructure Engineer #1055763
Position Description:
Employees part of this function are responsible for building and operating IT hardware and software resources in on-prem, cloud or hybrid scenarios in support of internal customer needs. They are responsible for a wide variety of activities that operationalize cross functional teams such as capacity planning and resource optimization solutions for one-off and long-term workloads, planning, configuring and maintaining servers (including mainframes), creating virtualized environments, providing analytics services, installing and maintaining specialized tools, etc
Key Responsibilities:
  • Involved in the design, operation, and maintenance of enterprise servers, including specialty mainframe systems like IBM/LPARS, high performance super computing systems, and general-purpose hybrid and cloud systems, for optimal end-user business operations.
  • Research, design, implement and maintain complex infrastructure solutions for internal customer needs such as specialty software, data warehouses, identity access management, event frameworks, containerization and on demand scaling, etc.
  • Design and configure secure virtualized environments aligned with enterprise architecture blueprints consisting of virtual machines, virtual networks, high speed and distributed storage systems (SAN, HDFS, SSD, etc.)
  • Utilize existing tools or assist in engineering custom monitoring solutions to ensure systems are configured correctly, run efficiently and remain secure against potential threats.
  • Monitor and review resources like CPU, memory, storage, and network traffic to ensure effective utilization aligned with expected parameters and to safeguard against runaway costs.
  • Resolve bottlenecks and plan for future capacity needs based on resource usage trends. Advise enterprise architecture teams on usage trends to incorporate into future blueprints.

Skills Required:
  • Microsoft Azure

Skills Preferred:
  • Client Management

Experience Required:
  • Engineer 2 Exp.: Practitioner: 1 coding language or framework. 4+ years in IT; 3+ years in development

Education Required:
  • Bachelor's Degree

Additional Information :
  • Route and operationalize Intune logs in Azure: configure Intune Diagnostic Settings to send audit/operational/compliance/device logs to Azure Monitor / Log Analytics, then author KQL queries, alerts, and workbooks for proactive monitoring.
  • Build executive-ready insights: create Power BI dashboards fed by the Intune Data Warehouse and/or Log Analytics queries to trend compliance, deployments, and device health.
  • Run multi-device queries at scale: use Intune Advanced Analytics - Device query for multiple devices (KQL) to answer fleet-wide questions (e.g., drivers, firmware, crash patterns) and drive remediations.
  • Measure update compliance: implement Windows Update for Business reports (Azure Monitor Logs) and craft KQL queries/Workbooks that track patch deployments, failures, and safeguards.
  • Deploy and optimize Endpoint analytics: enable data collection, interpret startup/sign-in scores, and turn insights into configuration changes that reduce help-desk tickets.
  • Automate with Microsoft Graph: build secure automations
  • Create and manage Microsoft Entra app registrations: design least-privilege application permissions/secrets/certificates for Graph integrations; document consent flows and lifecycle.
  • Design & develop Azure Workflows: Design, build, and maintain server-less integration workflows using Azure Logic Apps and Azure Function apps to automate business processes.
  • Manage Azure substrate for analytics: create and govern Log Analytics workspaces, access control, data retention, and (where needed) data export.
  • Secure access with Device Compliance: integrate Intune compliance with Conditional Access to enforce "require compliant device" for key apps while supporting exceptions and staged rollouts.
  • Document and mentor: publish runbooks, standards, and KQL/Power BI templates; coach analysts and support engineers.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.