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Full Stack Data Engineer Jobs in Arizona (NOW HIRING)

Master Electronics

Full Stack Developer

Phoenix, AZ

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

Studio-C, LLC

Full Stack Developer

Phoenix, AZ · On-site

$100 - $125/hr

POSITION OVERVIEW The Full Stack Developer position at StudioC is responsible for developing and maintaining software solutions that support church communication, member engagement and data analytics.

Master Electronics

Full Stack Developer

Phoenix, AZ · On-site

$80K - $100K/yr

We are looking for a Full Stack Developer who can build scalable web applications, solve complex problems, and use AI tools to move faster without compromising quality. This is a great opportunity ...

InterSources Inc

Java Full Stack Technical Lead

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Responsibilities : • Strong hands-on Full Stack Engineer with experience on Mongo db, Angular ... data flows, database systems with Knowledge on both SQL / NoSQL DB's • Exposure to building ...

Select Minds LLC

Java Full Stack Developer

Phoenix, AZ · On-site

$120K - $130K/yr

Opportunity for advancement Java Full Stack Developer - Java + React Location: Phoenix, AZ Work ... Hands-on experience with enterprise application frameworks such as One App or One Data.

Jobsbridge

Full Stack .NET developer

Chandler, AZ · On-site

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 ...

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Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Arizona

Full Stack Data Engineer information

See Arizona salary details

$41.5K

$125.6K

$177.5K

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

As of Sep 9, 2026, the average yearly pay for full stack data engineer in Arizona is $125,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

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

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Arizona?

For Full Stack Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Arizona look for?

The top searched job categories for Full Stack Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Full Stack Data Engineer jobs?

Cities in Arizona with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

Lead Java Developer - AI & Full Stack Solutions

Phoenix, AZ • On-site

Cliff Services Inc
See more jobs at Cliff Services Incexternal

$52.25 - $67.25/hr

Other

Re-posted yesterday

Job description

Job Title: Lead Java Developer AI & Full Stack Solutions

Location: Phoenix, AZ (Onsite / Hybrid)

Employment Type: Contract

Job Summary

We are looking for a highly skilled Lead Java Developer with expertise in Artificial Intelligence (AI), Generative AI (LLMs, RAG, MCP), and Full Stack Development to design and build next-generation enterprise applications. In this role, you will lead the architecture, engineering, and deployment of resilient, AI-powered enterprise microservices and customer-facing web applications.

The ideal candidate brings strong hands-on experience in Java core platform engineering, integration with modern AI architectures (Retrieval-Augmented Generation, Model Context Protocol, and Large Language Models), and modern frontend frameworks (React/Angular/Node.js).

Key Responsibilities

  • Technical Leadership & Architecture: Lead the end-to-end design, development, and architectural delivery of scalable, secure Java-based backend microservices integrated with advanced AI/LLM capabilities.

  • AI & LLM Integration: Design and implement RAG (Retrieval-Augmented Generation) pipelines, integrate MCP (Model Context Protocol) servers/tools, vector databases, and enterprise LLM orchestration framework (e.g., Spring AI, LangChain4j, Semantic Kernel).

  • Full Stack Execution: Oversee and contribute to full stack development-connecting modern frontend frameworks (React.js, Angular, or Vue.js) with AI-enhanced RESTful and GraphQL APIs.

  • Enterprise Security & Governance: Implement enterprise-grade security, data protection, privacy controls, and API governance suitable for large-scale financial and payment systems.

  • Engineering Best Practices: Drive code reviews, automated unit/integration testing, CI/CD pipeline automation, observability/monitoring, and performance tuning across the cloud stack (AWS/Google Cloud Platform/Azure).

  • Mentorship & Collaboration: Guide and mentor software engineers, partner closely with Data Scientists, AI Engineers, Product Managers, and Solution Architects to translate business requirements into technical reality.

Required Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

  • Core Java Leadership: 8+ years of hands-on Java engineering experience (Java 17/21, Spring Boot, Spring Cloud, Microservices, Event-driven architecture with Kafka/RabbitMQ).

  • AI / GenAI Expertise: 2+ years of practical experience integrating AI capabilities into enterprise applications:

    • Building RAG pipelines utilizing Vector Databases (e.g., Pinecone, Milvus, pgvector, Qdrant).

    • Hands-on familiarity with MCP (Model Context Protocol) standards, tools, and agentic workflows.

    • Integration with LLM APIs (OpenAI, Anthropic Claude, Llama, Bedrock, Vertex AI) using Spring AI or LangChain4j.

  • Full Stack Development: Proficiency in frontend web technologies (React.js, Angular, TypeScript, HTML5/CSS3) and backend API integrations.

  • Cloud & DevOps: Deep expertise in Cloud platforms (AWS/Azure/Google Cloud Platform), Docker, Kubernetes, CI/CD pipelines (Jenkins/GitHub Actions), and infrastructure-as-code.

  • Location: Based in or willing to work onsite/hybrid in Phoenix, AZ.

Apply