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Vertex Jobs in Arizona (NOW HIRING)

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

Senior School Finance Manager

Chandler, AZ · On-site

$107K - $146K/yr

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

Senior School Finance Manager

Chandler, AZ · On-site

$105K - $143K/yr

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

At Vertex Education we are a team of high achievers, courageous leaders, and passionate believers in changing lives through education. As a purpose-led education services provider, our mission is ...

Manage and optimize cloud-based ML infrastructure (GCP Vertex AI, AWS SageMaker, or equivalent). Implement CICD pipelines for ML and AI-driven applications. Monitor, troubleshoot, and optimize model ...

Experience deploying models with MLOps tools such as Vertex Pipelines Kubeflow or similar platforms * Experience implementing and supporting endtoend Machine Learning workflows and patterns * Expert ...

Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD Secondary Skillset : Python, AI/ML, Tensorflow, LLM, GenAI

Expertise with GCP AI/ML tools (Vertex AI, BigQuery ML, Kubeflow, Dataflow, Cloud Functions) * Strong coding skills in Python and/or Java, with experience in ML frameworks (TensorFlow, PyTorch ...

Java Developer

Phoenix, AZ · On-site

$50.75 - $65.50/hr

... vertex Qualifications : Required : • Strong Java engineer with hands on experience in Core Java, Java 8. • Hands on experience with spring boot, microservices, Restful webservices/ Rest APIs ...

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ...

Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs, and ...

Showing results 41-60

Vertex information

See Arizona salary details

$28.9K

$86.5K

$109K

How much do vertex jobs pay per year?

As of Sep 2, 2026, the average yearly pay for vertex in Arizona is $86,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $108,600.00 per year, depending on experience, location, and employer.

What is a Vertex?

In the context of technology jobs, 'Vertex' often refers to a role at Vertex Pharmaceuticals or jobs related to Google's Vertex AI platform. For example, Vertex AI is a Google Cloud product that enables machine learning engineers and data scientists to build, deploy, and scale machine learning models. Job roles related to Vertex AI typically involve tasks such as data preprocessing, model training, deployment, and monitoring. If referring to Vertex Pharmaceuticals, jobs may involve pharmaceutical research, clinical trials, or business operations. It's important to clarify the industry to better understand the specific job responsibilities.

What are the key skills and qualifications needed to thrive as a Vertex Pharmaceuticals employee?

To thrive at Vertex Pharmaceuticals, you need a strong background in your relevant scientific or technical field, such as biology, chemistry, or drug development, often supported by an advanced degree. Familiarity with laboratory techniques, data analysis software, and regulatory compliance systems is commonly expected. Excellent teamwork, problem-solving, and communication skills set top performers apart in cross-functional and innovative environments. These abilities are essential for driving scientific discovery and ensuring the successful development of impactful therapies.

How does a Vertex Pharmaceuticals team member typically collaborate with cross-functional departments during drug development projects?

At Vertex Pharmaceuticals, team members often work closely with colleagues from research, clinical, regulatory, and commercial departments to advance drug development projects. Collaboration is key—regular cross-functional meetings and project updates ensure alignment on goals and timelines. You may participate in data reviews, strategy sessions, and cross-team problem-solving activities. This environment fosters both scientific innovation and professional growth, as employees learn from diverse experts across the organization.

What is the difference between Vertex vs Data Analyst?

AspectVertexData Analyst
Required CredentialsAccounting or tax certifications, CPA, or industry-specific licensesBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentFinancial, tax, or consulting firms; office-based or remoteCorporate, finance, healthcare, or tech industries; office or remote
Employer & Industry UsageUsed by accounting and tax firms for tax software solutionsUsed across industries for data interpretation and reporting

Vertex is primarily a tax software company focusing on tax calculation and compliance, often requiring accounting credentials. Data Analysts interpret data to inform business decisions across various industries. While both roles involve data handling, Vertex specialists focus on tax-related data, whereas Data Analysts work with broader datasets for strategic insights.

What are the most commonly searched types of Vertex jobs in Arizona?

The most popular types of Vertex jobs in Arizona are:

What are popular job titles related to Vertex jobs in Arizona?

For Vertex jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Vertex jobs?

Cities in Arizona with the most Vertex job openings:

Infographic showing various Vertex job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $86,545 per year, or $41.6 per hour.

Senior Google Cloud Platform Data Engineering (Core Stack)

Government Systems Technologies Inc. (GSTi)

Phoenix, AZ • On-site

$59.50 - $77.50/hr

Other

Posted 12 days ago


Job description

Senior Google Cloud Platform Data Engineering (Core Stack) Phoenix, AZ Contract
Must-Have Services: Strong hands-on experience with BigQuery, Cloud Dataflow (PySpark/Beam), Cloud Composer (Airflow), and Google Cloud Platform Pub/Sub.
Engineering Skills: Expert-level Python, MCP Server Development, and CI/CD data pipelines.
2. Agentic AI & LLM Orchestration
Frameworks & Ecosystem: Practical experience with Vertex AI, Gemini models, and agentic orchestration frameworks (e.g., Google ADK).
Protocols & Integrations: Direct exposure or strong capability in implementing Model Context Protocol (MCP) tools/servers and Agent-to-Agent (A2A) communication patterns.
Workflow Automation: Proven ability to design agents for task decomposition, tool execution, dynamic SQL generation, and automated pipeline monitoring.
3. Role Expectations
Candidates should be able to design autonomous, self-healing data workflows, build custom MCP interfaces for BigQuery/Vertex, and define enterprise agent architecture.