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Full Stack Data Analyst Jobs in Arizona (NOW HIRING)

Optimize data access and storage using Entity Framework , SQL Server , and efficient query design ... Strong debugging, analytical, and communication skills. * Ability to balance shipping features with ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. MS.NET / C# (Windows and Web), MVC 5 a plus Silverlight Web Services ...

Java Full Stack ANGULAR 5

Tempe, AZ · On-site

$51 - $65.75/hr

Java Full Stack Location : Santa Clara, CA Duration : 6 months Need 10+ Years of EXP Candidates ... Object-oriented and service-oriented design concepts, including knowledge of data transfer objects ...

The Full Stack Engineer with AI will contribute to software application design, participate in ... analyse results, and coordinate bug fixes to uphold the software quality standards • Develop ...

Lead requirement analysis, component design, development, unit testing, integrations, and support ... Maintain accountability for the integrity of code design, implementation, quality, data, and ...

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Showing results 1-20

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 Jun 19, 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 cities in Arizona are hiring for Full Stack Data Analyst jobs? Cities in Arizona with the most Full Stack Data Analyst job openings:
Infographic showing various Full Stack Data Analyst job openings in Arizona as of June 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 Engineer (Product Platforms, Mobile & Automation)

Globe Telecom, Inc.

Globe, AZ • On-site

Full-time

Posted 4 days ago


Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description We are seeking a Full-Stack Engineer who can work across product layers-from shared domain logic and APIs to client applications and automated quality systems.
This role is ideal for an engineer who is not just a "Application Developer", but someone who understands end-to-end system design, builds shared business logic, integrates with backend services, and delivers high-quality user experiences on multiple platforms, including mobile.
You will also actively leverage Generative AI tools to improve development speed, code quality, and test automation.

What You'll Work On

  • Shared domain and business logic using Kotlin Multiplatform (KMP)

  • Client applications (Android, iOS, and potentially web-facing layers)

  • Backend/API integrations and contract-driven development

  • Automation frameworks and CI/CD quality gates

  • AI-assisted development and testing workflows

Key ResponsibilitiesFull-Stack Product Development
  • Design and implement shared business logic and data layers using Kotlin Multiplatform.

  • Build and integrate client-facing applications across Android and iOS, with awareness of platform-specific constraints.

  • Collaborate with backend teams on API design, contracts, and data models (REST/GraphQL).

  • Contribute to system design discussions covering client, network, data, and infrastructure boundaries.

Architecture & Engineering Excellence
  • Apply SOLID principles, clean code practices, and layered/clean architecture across the stack.

  • Design modular, scalable systems with clear separation of concerns.

  • Make thoughtful trade-offs between shared vs platform-specific implementations.

  • Participate in code reviews and technical design reviews.

Automation, Testing & Quality
  • Build and maintain automated test frameworks across layers (unit, integration, and UI).

  • Work with tools such as JUnit, Espresso, XCTest, Appium, or equivalent automation frameworks.

  • Ensure testability is built into system design, not added later.

  • Integrate automated tests into CI/CD pipelines and release workflows.

Generative AI & Developer Productivity
  • Use Generative AI tools for:

    • Code generation, refactoring, and documentation

    • Test case generation and automation scripting

    • Debugging and performance analysis

    • Continuously evaluate and adopt AI-assisted workflows that improve engineering efficiency.

Collaboration & Delivery
  • Work closely with product managers, designers, QA, and backend engineers.

  • Participate in sprint planning, estimation, and technical scoping.

  • Take ownership of features from concept through production and post-release improvements.

Required Skills & ExperienceCore Engineering
  • 3-6 years of professional experience as a full-stack or platform engineer.

  • Strong experience with Kotlin Multiplatform (KMP) for shared logic and data layers.

  • Experience building client applications on at least one platform, with working knowledge of:

    • Android (Kotlin, Jetpack, Coroutines)

    • iOS (Swift, UIKit and/or SwiftUI)

  • Solid understanding of API-driven architectures and backend integration.

Testing & Automation
  • Hands-on experience with automation testing tools across layers.

  • Strong understanding of test strategies: unit, integration, contract, and UI testing.

  • Experience integrating automation into CI/CD pipelines.

Architecture & Best Practices
  • Strong grasp of SOLID principles, design patterns, and clean architecture.

  • Experience designing systems for scalability, performance, and maintainability.

  • Comfortable working with Git-based workflows and modern DevOps practices.

Generative AI Experience
  • Practical experience using Generative AI tools in daily development.

  • Ability to apply AI tools thoughtfully rather than blindly (code quality, security, correctness).

Nice to Have
  • Backend experience with Ktor, Node.js, or JVM-based services.

  • Exposure to Compose Multiplatform or shared UI strategies.

  • Experience with contract testing, feature flags, or experimentation frameworks.

  • Familiarity with observability tools (logging, metrics, crash analytics).

What We Value
  • Product thinking over platform silos

  • Strong ownership and accountability

  • Engineering craftsmanship and continuous learning

  • Curiosity around AI-augmented software development

What You'll Get

  • Opportunity to work on end-to-end product platforms, not just client apps

  • Real ownership across business logic, client experience, and quality automation

  • Exposure to modern full-stack architectures and GenAI-driven workflows

  • A culture that values clean design, pragmatism, and impact

Equal Opportunity Employer
Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.