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Full Stack Data Analyst Jobs in Arizona (NOW HIRING)

POWERX

Full Stack AI Engineer

Phoenix, AZ

The Full Stack AI Engineer is a full-stack development role responsible for building, maintaining ... Systems Integration & Data * Design, build, and maintain integrations between internal applications ...

Globe Telecom, Inc.

Full Stack Core Java Developer

Globe, AZ · On-site

$50 - $64.50/hr

The Full Stack Java Core Developer role will have complete accountability of the end-to-end ... Build services that support streaming data to enable business to adapt in real-time. * Identify ...

POWERX

Full Stack AI Engineer

Phoenix, AZ · On-site

The Full Stack AI Engineer is a full-stack development role responsible for building, maintaining ... Systems Integration & Data * Design, build, and maintain integrations between internal applications ...

XDIN

Full Stack Developer

Tucson, AZ

Analyze business requirements submitted by Product Management and/or customer. * Review change ... Data modeling and data access technologies * Experience practicing OOP, CI/CD * Programming ...

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Showing results 1-20

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Arizona

Full Stack Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do full stack data analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for full stack data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What are popular job titles related to Full Stack Data Analyst jobs in Arizona? For Full Stack Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Analyst jobs in Arizona look for? The top searched job categories for Full Stack Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Full Stack Data Analyst jobs? Cities in Arizona with the most Full Stack Data Analyst job openings:
Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Arizona as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.
Full Stack Developer - (Platform + Backend)

Full Stack Developer - (Platform + Backend)

Photon

Tempe, AZ • On-site

Other

Posted 12 days ago

Job description

Job Title :Full Stack Developer
Location :Tempe, AZ - 26329

We are seeking a Developer (Platform + Backend) to design, develop, and maintain scalable backend services and enterprise platforms. The ideal candidate will have strong experience in backend development, API design, cloud-native technologies, databases, and system integrations, with the ability to build reliable, secure, and high-performing enterprise applications.
Responsibilities:
Develop and maintain backend services, APIs, and platform components that support enterprise applications and business solutions.
Design and implement RESTful APIs, microservices, and integration frameworks to enable seamless communication between systems.
Build scalable and maintainable backend architectures using modern development frameworks and software engineering best practices.
Design, optimize, and manage database schemas, migrations, and data access layers across relational and NoSQL databases.
Integrate third-party services, enterprise applications, and external APIs into business workflows and platform solutions.
Develop cloud-native solutions leveraging AWS services such as Lambda, ECS, EKS, API Gateway, S3, DynamoDB, and related technologies.
Collaborate with frontend developers, architects, product owners, and business stakeholders to deliver end-to-end solutions.
Implement logging, monitoring, security controls, and observability practices to ensure platform reliability and operational excellence.
Participate in code reviews, architecture discussions, and technical design sessions.
Troubleshoot and resolve application, integration, and performance issues in development, testing, and production environments.
Support CI/CD pipelines, automated deployments, and platform operations initiatives.
Contribute to technical documentation, API specifications, coding standards, and development best practices.
Qualifications:
Strong experience in backend software development using languages such as Python, Java, Node.js, C#, or similar.
Solid understanding of RESTful API design, microservices architecture, and system integration patterns.
Experience working with relational and/or NoSQL databases, including schema design, query optimization, and database migrations.
Hands-on experience with AWS cloud services and cloud-native application development.
Knowledge of containerization technologies such as Docker and orchestration platforms such as Kubernetes/EKS.
Strong understanding of software engineering best practices, version control, testing methodologies, and code quality standards.
Experience building scalable, secure, and highly available backend systems.
Familiarity with Git, CI/CD pipelines, and automated deployment processes.
Strong problem-solving, debugging, and analytical skills.
Ability to communicate technical concepts and collaborate effectively across teams.
Good to Have:
Experience with event-driven architectures, message queues, and distributed systems.
Familiarity with monitoring, logging, observability, and application performance management tools.
Experience with Infrastructure as Code (Terraform, CloudFormation, etc.).
Knowledge of security best practices, authentication, authorization, and API security.
Experience with modern database technologies such as DynamoDB, MongoDB, PostgreSQL, SQL Server, or similar platforms.
Experience working in Agile/Scrum environments.
AWS, Kubernetes, Cloud, or backend development-related certifications.
Exposure front-end technologies such as React, TypeScript, or JavaScript to support full-stack collaboration.
Experience supporting enterprise-scale applications, integrations, and cloud transformation initiatives.
Familiarity with DevOps practices and cloud automation frameworks.

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