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Entry Level Kql Jobs (NOW HIRING)

Cyera

Security Engineer

Kansas City, MO · On-site +1

$80K - $150K/yr

AWS entry-level certification required at minimum, such as AWS Certified Cloud Practitioner. AWS ... Detection Languages: Experience with Sigma, SPL, KQL, SQL, YARA, or similar detection/query ...

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Entry Level Kql information

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$12

$16

$22

How much do entry level kql jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level kql in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What do entry level cyber security people do?

Entry-level cybersecurity professionals assist with monitoring networks for security threats, analyzing security alerts, and implementing basic security measures. They often use tools like intrusion detection systems and may support incident response and security audits under supervision.

What is the difference between Entry Level Kql vs Data Analyst?

AspectEntry Level KqlData Analyst
Required CredentialsBasic understanding of Kusto Query Language, some technical backgroundBachelor's in Data Science, Statistics, or related field
Work EnvironmentPrimarily IT, cybersecurity, or cloud platforms using AzureBusiness, finance, marketing, or IT departments analyzing data
Employer & Industry UsageTech companies, cybersecurity firms, cloud service providersVarious industries including finance, healthcare, retail
Search & Comparison IntentUnderstanding entry-level roles involving Kusto Query LanguageComparing roles in data analysis and query languages

Entry Level Kql focuses on basic skills in Kusto Query Language within tech and cloud environments, while Data Analysts work across industries analyzing data using various tools. Both roles require analytical skills but differ in technical focus and industry application.

What are entry level KQL jobs?

Entry level KQL jobs involve working with the Kusto Query Language (KQL), which is used primarily in Microsoft services like Azure Data Explorer and Azure Monitor. These roles are ideal for individuals starting their careers in data analysis or IT operations, focusing on writing queries to analyze, visualize, and troubleshoot large datasets. Typical responsibilities may include monitoring system logs, creating dashboards, and supporting data-driven decision making within an organization. Basic knowledge of databases, data structures, and Microsoft Azure tools is often required for these positions.

What types of tasks and responsibilities can I expect in an entry-level KQL (Kusto Query Language) role?

In an entry-level KQL role, you'll primarily focus on writing, optimizing, and troubleshooting queries to analyze large datasets within platforms like Microsoft Azure Data Explorer or Sentinel. Your daily work may include assisting senior team members with developing dashboards, monitoring data pipelines, and responding to requests for specific data insights. Collaboration with security analysts, data engineers, and IT teams is common to ensure accurate and efficient data retrieval. Over time, you'll gain exposure to more complex query optimization and may take on greater responsibility for designing data solutions.

How can I get a job in cybersecurity with no experience?

Entry-level cybersecurity roles often require foundational knowledge of networking, operating systems, and security principles. Gaining certifications like CompTIA Security+ or Cisco's CCNA, and practicing with tools such as Wireshark or Kali Linux, can improve your chances; internships and volunteering also provide practical experience.

What are the key skills and qualifications needed to thrive as an Entry Level KQL Analyst, and why are they important?

To thrive as an Entry Level KQL (Kusto Query Language) Analyst, you need a foundational understanding of data analysis, query writing, and basic database concepts, often supported by a relevant degree or coursework. Familiarity with Microsoft Azure Data Explorer, Log Analytics, and hands-on experience with KQL syntax are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with technical teams. These skills are crucial for efficiently extracting actionable information from large datasets and supporting data-driven decision-making.

What is a KQL job in Sentinel Data Lake?

A KQL job in Sentinel Data Lake involves writing and managing queries using Kusto Query Language (KQL) to analyze and extract insights from large-scale security and operational data stored in Azure Sentinel. These roles often require knowledge of data analysis, security monitoring, and familiarity with Azure tools and environments.

What jobs pay 4000 a week without a degree?

Entry-level jobs involving skilled trades, such as commercial truck driving, can pay around $4,000 weekly with proper licensing and experience. Other high-paying roles like sales or certain technical roles may also reach this level through commissions or bonuses, but typically require specialized skills or certifications rather than a college degree.
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Entry Level Kql jobs near you
Infographic showing various Entry Level Kql job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.

Security Engineer

Cyera

Kansas City, MO • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 27 days ago

Job description

Description
WHO WE ARE
Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera's mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world's leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security.
THE OPPORTUNITY
Join our team as a Security Engineer working within an agentic SOC environment. This role is designed for someone who is ready to grow beyond traditional analyst responsibilities and move deeper into security engineering, automation, cloud security, detection engineering, and AI-assisted security operations.
You will help build, operate, and improve a modern SOC that uses automation, agentic workflows, AI-assisted investigation, and security engineering practices to improve detection, triage, response, and overall security visibility. This is a hands-on role for someone who enjoys solving technical problems, improving systems, and building security capabilities rather than only monitoring alerts.
The ideal candidate has 2-3 years of cybersecurity experience, a strong SOC foundation, hands-on AWS knowledge, Python proficiency, and experience working with SIEM data and log pipelines. We are looking for someone motivated, curious, and eager to grow into a stronger security engineer within a modern, engineering-driven SOC model.
RESPONSIBILITIES:
  • Security Engineering: Build, maintain, and improve security workflows, integrations, detection processes, and operational tooling within an agentic SOC.
  • Agentic SOC Operations: Work with automation, AI-assisted workflows, and agent-based capabilities that support alert triage, investigation, enrichment, and response.
  • SIEM Log Flow Development: Help design, configure, maintain, and troubleshoot log ingestion flows into the SIEM from AWS, applications, infrastructure, endpoint tools, and security platforms.
  • Detection Engineering: Create, tune, and maintain detection rules, alert logic, dashboards, playbooks, and investigation workflows.
  • Python Automation: Develop Python scripts and automations for alert enrichment, data processing, reporting, workflow improvement, and security operations support.
  • Cloud Security Monitoring: Support cloud security logging, monitoring, IAM reviews, and cloud detection use cases.
  • SOC Operations: Review, analyze, and correlate security alerts and logs to identify suspicious activity and support investigations.
  • Incident Response Support: Assist with security event investigations, escalation, containment, remediation, and post-incident improvements.
  • Process Improvement: Help improve SOC processes, playbooks, detection coverage, documentation, and response workflows.
  • Cross-Functional Collaboration: Partner with security, cloud, IT, and engineering teams to improve visibility, reduce risk, and strengthen security operations.

Requirements
REQUIRED QUALIFICATIONS:
  • Experience: 2-3 years of experience in cybersecurity, SOC operations, security engineering, cloud security, detection engineering, or incident response.
  • AWS Knowledge: Working knowledge of AWS services, cloud security fundamentals, logging, monitoring, IAM, and basic cloud architecture.
  • AWS Certification: AWS entry-level certification required at minimum, such as AWS Certified Cloud Practitioner. AWS Solutions Architect - Associate or AWS Security Specialty is a plus.
  • Python Proficiency: Hands-on proficiency with Python for scripting, automation, data processing, security tooling, or workflow development.
  • SIEM Experience: Experience working with SIEM platforms, including log ingestion, parsing, alerting, dashboards, and detection logic.
  • Log Pipeline Experience: Experience building, maintaining, or troubleshooting log flows from applications, infrastructure, AWS services, endpoint tools, or security platforms into a SIEM.
  • SOC Foundation: Strong understanding of SOC workflows, alert triage, investigation, escalation, and incident response processes.
  • Detection Knowledge: Ability to help develop, tune, and improve detections based on logs, threat behavior, and operational needs.
  • Agentic SOC Familiarity: Familiarity with agentic concepts, agentic frameworks, AI-assisted workflows, autonomous or semi-autonomous agents, and practical security operations use cases.

NICE TO HAVE:
  • Agentic/AI Security Use Cases: Hands-on exposure to LLMs, AI agents, agentic workflows, or AI-assisted security operations.
  • Detection Languages: Experience with Sigma, SPL, KQL, SQL, YARA, or similar detection/query languages.
  • Infrastructure as Code: Familiarity with Terraform, CloudFormation, CDK, or similar tools.

COMPENSATION INFORMATION:
Compensation Range: $80,000-$150,000.
The range represents total compensation, and may include incentive for sales roles, equity or benefits, as applicable.
This compensation range represents Cyera's good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera's sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee's work experience, skills, and qualifications for the role, as well as the needs of Cyera's business and other operational considerations.
Final compensation will vary based on seniority and relevance of experience, location, and position requirements.
This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors.
BENEFITS - Why Cyera?
  • Ability to work remotely, with office setup reimbursement
  • Competitive salary
  • Unlimited PTO
  • Paid holidays and sick time
  • Health, vision, and dental insurance
  • Life, short and long-term disability insurance

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