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Cortex Jobs in Florida (NOW HIRING)

SJE

Senior Edge Engineer - Firmware & MCU

Largo, FL · On-site

$103K - $136K/yr

Day-to-day that means secure boot, signed firmware, MQTT-over-TLS to the cloud, and the field-side protocol layer (Modbus RTU, plus CAN bus where required) on our current ARM Cortex-M class device.

Deloitte

Cyber - Google SecOps - Manager

Tampa, FL

Experience with MITRE ATT&CK, the Cyber Kill Chain, VirusTotal, Mandiant, Google Threat Intelligence, Splunk, Cortex XSOAR, and AI agentic frameworks, including Model Context Protocol (MCP) or Agent ...

Deloitte

Cyber - Google SecOps - Manager

Miami, FL

Experience with MITRE ATT&CK, the Cyber Kill Chain, VirusTotal, Mandiant, Google Threat Intelligence, Splunk, Cortex XSOAR, and AI agentic frameworks, including Model Context Protocol (MCP) or Agent ...

Venatore Llc

Splunk SOAR Engineer

Tampa, FL · On-site

Experience with other SOAR platforms (e.g., Palo Alto Cortex XSOAR, IBM Resilient). * Experience supporting USCENTCOM or multi-domain defense security operations environments. * ITIL 4 Foundation ...

L3HHCM20

$236K/yr

Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar * Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code ...

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Showing results 21-40

All JobsCortex JobsCortex Jobs in Florida

Cortex information

See Florida salary details

$54.9K

$91.2K

$122.6K

How much do cortex jobs pay per year?

As of Aug 14, 2026, the average yearly pay for cortex in Florida is $91,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $105,400.00 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 popular job titles related to Cortex jobs in Florida?

For Cortex jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Cortex jobs in Florida look for?

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

What cities in Florida are hiring for Cortex jobs?

Cities in Florida with the most Cortex job openings:

Cortex jobs near you
Infographic showing various Cortex job openings in Florida as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $91,175 per year, or $43.8 per hour.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 13 days ago

Job description

Local to San Antonio, TX / New York, NY only!
Role: Snowflake Lead - Data Engineering
JD
12+ years in Data Engineering / Analytics (Snowflake, Talend, DBT, Cortex AI, Python)
(8+ years hands on Snowflake development & production support)
(4+ years' experience in P&C Insurance customers, managing month end closing activities)
(4+ years leading the team as technical lead)
Must Have Technical/Functional Skills
Snowflake, Cortex AI, Python and Insurance Domain on AWS Cloud, Talend ETL
Roles & Responsibilities
The Snowflake Lead will serve as the onsite technical lead for CLEARBROOK 's enterprise data platform, responsible for end to end Snowflake solution design, development leadership, and AI/advanced analytics enablement. The role requires deep hands on expertise in Snowflake, strong data engineering fundamentals, and the ability to integrate AI/ML driven use cases into the Snowflake ecosystem while coordinating with offshore teams.
Snowflake Production Support
• Perform root cause analysis for job failures and data analysis & fixes
• Perform Month End Closing Activities
Snowflake Development & Architecture
• Lead design and development of Snowflake schemas, tables, views, streams, tasks, and Snowpipes
• Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning)
• Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level security
• Oversee promotion of code across environments using CI/CD practices
Data Engineering & Integration
• Lead development of batch and near real time ingestion pipelines using Talend / Qlik Replicate / Snowpipe
• Ensure data quality checks, reconciliation, and schema drift handling
• Guide integration from insurance source systems (Policy, Claims, Billing, Reinsurance) into Snowflake
• Provide technical oversight for SQL, Python, and ELT based transformations
AI / Advanced Analytics Enablement
• Enable AI/ML use cases on Snowflake, including:
o Feature engineering datasets for ML models
o Snowpark (Python)-based data processing
o Integration with external ML platforms (Databricks / SageMaker / Azure ML where applicable)
• Support AI driven insights such as:
o Claims triage & risk scoring
o Fraud detection inputs
o Premium leakage and pricing analytics
• Guide teams in using Python, SQL, and Snowflake native capabilities for data science workloads
Core Technical Skills
• Snowflake: Advanced SQL, Performance Tuning, Security, Snowpipe, Streams & Tasks
• Data Engineering: ELT/ETL patterns, data modeling, CDC concepts
• Python: Data processing, automation, Snowpark (preferred)
• Strong understanding of cloud data platform architecture (AWS preferred)
AI / Analytics Skills
• Hands on exposure to AI/ML pipelines (feature preparation, training data creation)
• Experience supporting ML models through data engineering and operationalization
• Familiarity with Python ML libraries (scikit learn, pandas, NumPy) - applied from a data engineering perspective
• Understanding of model lifecycle support (data refresh, monitoring, retraining inputs)
Domain & Soft Skills
• Insurance domain experience (P&C / Specialty Insurance strongly preferred)
• Strong communication skills for onsite customer interaction
• Ability to translate business requirements into scalable data & AI solutions
Role Descriptions: Good information and sound knowledge in Snowflake and Talend.
Essential Skills: Good information and sound knowledge in Snowflak and Talend.
Desirable Skills:
Keyword:
Skills: Digital : Talend Open Studio~Digital : Snowflake
Experience Required: 10 & Above

Apply