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Cortex Jobs in Texas (NOW HIRING)

Snowflake Cortex AI Engineer

Dallas, TX

$113K - $136K/yr

Develop, implement, and optimize solutions using Snowflake Cortex AI and various LLMs to analyze data from Power BI reports. This includes identifying key data points, relationships, and trends.

Sr. Risk Analyst

Irving, TX · On-site

$115K/yr

Cortex Management LLC d/b/a Cortex seeks Sr. Risk Analysts in Irving, TX. * Establish, maintain, and revise underwriting strategies by conducting statistical and other data mining analyses on data ...

Role: Cortex XSOAR Engineer Location: Remote Work Authorization: US Citizen Security Clearance: Able to get US "Public Trust" clearance Required skills/Level of Experience: As a SOAR Security ...

Cortex XSOAR Engineer Location: Remote Work Authorization: US Citizen Security Clearance: Able to get US Public Trust clearance Required skills/Level of Experience: As a SOAR Security Engineer, you ...

Role: Cortex XSOAR Engineer Location: Remote Work Authorization: US Citizen Security Clearance: Able to get US "Public Trust" clearance Required skills/Level of Experience: As a SOAR Security ...

Snowflake Admin Cortex AI Configuration Administrator Location: Remote Interview: Video Job Summary: We are seeking a skilled Snowflake Administrator with Cortex AI experience to manage and optimize ...

Lead Cortex XSOAR technical implementation/operations in a customer environment * Interact with Security and IT technologies relating to customer environment * Create documentation for Palo Alto ...

Lead POC for Cortex XDR/XSIAM: scenario design, detection validation, and operational fit * Evaluate Prisma Access (SASE: ZTNA, SWG, CASB) and Prisma Cloud (CSPM/CWPP) * Produce technical assessments ...

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Cortex information

See Texas salary details

$68.5K

$113.7K

$152.8K

How much do cortex jobs pay per year?

As of Jun 11, 2026, the average yearly pay for cortex in Texas is $113,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Cortex vs Data Analyst?

AspectCortexData Analyst
Required CredentialsTypically requires knowledge of neuroscience, psychology, or related fields; may include certifications in neurotechnologyUsually requires a degree in statistics, mathematics, or data science; certifications like Microsoft Data Analyst or Tableau are common
Work EnvironmentResearch labs, healthcare settings, neurotechnology companiesBusiness offices, consulting firms, data-driven industries
Employer & Industry UsageNeuroscience research, neurotech startups, healthcareFinance, marketing, healthcare, technology

While both roles involve data handling, Cortex specialists focus on neuro-related data and brain research, whereas Data Analysts work across various industries analyzing business data to inform decisions.

What are Cortex jobs?

Cortex jobs typically refer to roles related to the development, management, or support of Cortex platforms or technologies. In the context of IT and software, 'Cortex' can be a microservices management platform or a cloud-based solution for managing software reliability and engineering workflows. People in Cortex jobs may work as software engineers, platform specialists, or solutions architects, focusing on building tools that help teams track software quality, manage service catalogs, and streamline operations. The specific responsibilities can vary depending on the company and the type of Cortex platform being used.

What are the key skills and qualifications needed to thrive as a Cortex Engineer, and why are they important?

To thrive as a Cortex Engineer, you need a strong background in software engineering, distributed systems, and data storage, often backed by a degree in computer science or a related field. Experience with monitoring platforms like Prometheus, cloud environments (AWS, GCP), and familiarity with the Cortex open-source project are highly valuable. Strong problem-solving skills, effective communication, and a collaborative mindset help individuals excel in this role. These skills are critical for building scalable, reliable monitoring solutions that support large-scale infrastructure and development teams.

What are some common challenges faced by Cortex engineers when integrating new services with complex microservice architectures?

Cortex engineers often deal with the complexity of integrating new services into an existing microservices ecosystem, which requires a deep understanding of distributed system patterns, observability, and reliability concerns. Challenges can include managing service discovery, handling data consistency, and ensuring efficient communication between services. Collaborating closely with platform, DevOps, and security teams is essential to ensure smooth deployments and maintain system stability. Overcoming these challenges can be highly rewarding, as it provides opportunities to innovate and improve infrastructure at scale.

What is a Cortex job?

A Cortex job typically refers to a role within a machine learning or AI platform team that focuses on optimizing infrastructure, managing model deployment, and ensuring scalable performance. Cortex can also relate to roles within companies that develop AI-powered tools or work on neural processing technologies. Responsibilities may include building scalable ML services, integrating with cloud platforms, or maintaining real-time inference systems. The specific job details can vary depending on the company and industry.

How to make $80,000 a year without a degree?

In roles like Cortex or similar tech positions, earning $80,000 annually without a degree typically requires developing in-demand skills such as programming, data analysis, or cybersecurity, often through certifications, self-education, or bootcamps. Gaining experience, building a strong portfolio, and demonstrating proficiency can help secure high-paying positions in technology or related fields without formal degrees.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs and CFOs, top-tier surgeons, specialized attorneys, and successful entrepreneurs. These positions typically require extensive experience, advanced skills, and often involve leadership, high responsibility, or ownership stakes.

Is Cortex a good company to work for?

Cortex offers roles that typically involve skills in data analysis, machine learning, and software development. The company's work environment and benefits vary, so researching employee reviews and company culture can provide more insight into job satisfaction.

How much does Cortex pay?

The salary for a Cortex role varies depending on the position, experience, and location. Entry-level positions typically start around industry-standard rates, while more experienced roles can pay significantly higher. Compensation may also include benefits such as health insurance and performance bonuses.
What are the most commonly searched types of Cortex jobs in Texas? The most popular types of Cortex jobs in Texas are:
What are popular job titles related to Cortex jobs in Texas? For Cortex jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Cortex jobs? Cities in Texas with the most Cortex job openings:
Infographic showing various Cortex job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,669 per year, or $54.6 per hour.

Senior Snowflake Cortex AI & Analytics Architect

HCM Staffing and Consulting

Frisco, TX

$121K - $165K/yr

Other

Posted yesterday


Job description

We are seeking a Senior Snowflake Cortex AI & Analytics Architect to serve as a senior subject matter expert (SME) for Snowflake Cortex and AI-driven analytics capabilities within a modern enterprise data platform. This role partners closely with existing Platform Architects, Snowflake Data Platform Architects, and AI-focused technical leaders to design, enable, and operationalize LLM-powered, AI-assisted, and advanced analytics use cases.

This individual is not the final architectural authority, but a highly experienced practitioner who works alongside platform and data leaders to ensure Cortex solutions are governed, scalable, explainable, and aligned to enterprise standards.

Scope, Accountability & Impact (Senior Level)

  • Typically 7 10 years of experience across data platforms, analytics, or AI-adjacent architectures.
  • 3+ years of hands-on Snowflake experience, including direct production experience with Snowflake Cortex.
  • Designs and enables AI-driven and LLM-powered analytics within established platform guardrails.
  • Escalates AI, data exposure, and governance risks to Platform Architects.

Key Responsibilities

Snowflake Cortex & AI Enablement

  • Act as a Snowflake Cortex subject matter expert, working with other Cortex SMEs and Platform Architects to operationalize AI-driven and advanced analytics capabilities.
  • Design and guide adoption of Cortex-powered analytics, LLM-assisted querying, and insight generation.
  • Ensure Cortex usage aligns with security, governance, and enterprise data policies.

AI-Driven Analytics & Use Case Design

  • Translate business problems into Cortex-enabled analytics solutions.
  • Define patterns for AI-assisted analytics and natural-language interaction with governed data.
  • Ensure AI outputs are explainable, auditable, and repeatable.

Data Semantics & AI Readiness

  • Partner with Data Platform Architects to ensure semantic views and certified datasets are AI-ready.
  • Advise on shaping medallion layers and curated views for Cortex consumption.

Governance, Risk & Responsible AI

  • Collaborate with security and governance teams to define responsible AI guardrails.
  • Support compliant and controlled adoption of Cortex capabilities.

Required Qualifications

  • Direct, hands-on experience with Snowflake Cortex (required).
  • Strong hands-on experience with Snowflake as an enterprise analytics platform.
  • Experience designing AI-assisted or advanced analytics on governed enterprise data.

Preferred / Strong Plus Qualifications

  • Experience with Salesforce Data Cloud (Data 360).
  • Experience with Salesforce Agentforce.
  • Experience with equivalent native analytics or AI capabilities on other platforms.
  • Snowflake certifications such as SnowPro Core and SnowPro Advanced Architect.