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Cortex Jobs in Texas (NOW HIRING)

Esolvit, Inc.

System Analyst

Austin, TX · On-site

Enables AI capabilities using Snowflake Cortex while supporting data pipelines with DBT and Openflow. Ensures secure, scalable, and cost-efficient data platform operations across environments.

Blue Cross of Idaho

Snowflake Engineer

Meridian, TX

$96K - $144K/yr

Experience in leveraging AI-Driven Development; using Snowflake Cortex AI, Cortex Code, and Snowpark to accelerate the development lifecycle-automating SQL generation, optimizing complex queries, and ...

The LaSalle Group

Analytics Engineer

Fort Worth, TX · On-site

$60 - $70/hr

Experience working within Snowflake, with exposure to Snowflake Cortex (Analyst, Agents and Semantic Views) preferred. Understanding how to build trusted semantic layers that support AI and modern ...

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All JobsCortex JobsCortex Jobs in Texas

Cortex information

See Texas salary details

$68.5K

$113.7K

$152.8K

How much do cortex jobs pay per year?

As of Aug 14, 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 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?

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.

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 job categories do people searching Cortex jobs in Texas look for?

The top searched job categories for Cortex jobs in Texas are:

What cities in Texas are hiring for Cortex jobs?

Cities in Texas with the most Cortex job openings:

Cortex jobs near you
Infographic showing various Cortex job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $113,669 per year, or $54.6 per hour.

Senior DevOps Engineer

Esolvit, Inc.

Austin, TX • On-site

$128K - $165K/yr

Full-time

Re-posted 3 days ago

Job description

Job title: Senior DevOps Engineer
Location: Austin, TX
Duration: Long Term
Job Description: Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
Strong experience in CI/CD, automation using Python, and cloud infrastructure, ensuring efficient deployment, monitoring, and performance optimization.
Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions.
Required Skill:
  • 8 Years of Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
  • 8 Years of Hands-on experience with Microsoft Azure cloud platform
  • 8 Years of Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
  • 8 Years of Proficiency in Python scripting for automation and data engineering tasks
  • 8 Years of Experience with containerization and orchestration (AKS preferred)
  • 8 Years of Knowledge of data pipelines, ETL processes, and cloud data integration
  • 8 Years of Understanding of AI/ML concepts and platform integration
  • 8 Years of Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding Security monitoring using audit logs and metrics
  • 8 Years of Familiarity with monitoring, logging, and observability tools
Preferred Skills:
  • 3 Years of Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
  • 3 Years of Experience with Infrastructure as Code
  • 3 Years of Knowledge of data security, compliance, and governance frameworks
  • 3 Years of Prior experience in public sector or large enterprise environments
  • 2 Years of Strong problem-solving and analytical skills
  • 2 Years of Ability to manage multiple priorities in a fast-paced environment
  • 2 Years of Attention to detail and commitment to best practices
  • 2 Years of Snowflake AI / Cortex features exposure
  • 1 Year of Excellent communication and documentation skills

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