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Full Stack Data Engineer Jobs in Tempe, AZ (NOW HIRING)

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... or similar reactive programming frameworks * Strong understanding of full stack development ...

IntraEdge

Full Stack Engineer

Phoenix, AZ · On-site

Systems are designed to handle large-scale data processing and Big Data querying * Development is ... or similar reactive programming frameworks * Strong understanding of full stack development ...

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

Role - Senior Full-Stack Engineer (Node.js / Angular / MongoDB / Camunda) - Agentic Engineering ... API specs (OpenAPI/Swagger), BPMN diagrams, data models, model/agent runbooks, and acceptance ...

Provn

Full Stack AI Engineer, Security

Scottsdale, AZ · Remote

$130K - $170K/yr

As a Full Stack AI Engineer on the security team, you design, build, and deploy the AI systems that protect Arrivia's platforms, members, and data. You sit where machine learning meets cybersecurity ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

EC2, RDS, DynamoDB, Batch, EMR, Redshift • 1+ years of Full-Stack web application development ... Engineering, Data Management, Analytics & AI, and Digital Ent Solutions Founded in 2001, the ...

Staffingine LLC

Full Stack Engineer

Phoenix, AZ · On-site

Full Stack Engineer Job Location: Phoenix - Arizona - USA Job Type: Contract * Develop and design scalable secure and robust software solutions * Develop backend services with Nodejs TypeScript ...

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... Optimize data access and storage using Entity Framework , SQL Server , and efficient query design.

Yrefy, LLC

Full Stack Developer

Phoenix, AZ

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... Optimize data access and storage using Entity Framework , SQL Server , and efficient query design.

Yrefy LLC

Full Stack Developer

Phoenix, AZ · On-site

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... Optimize data access and storage using Entity Framework , SQL Server , and efficient query design.

Yrefy LLC

Full Stack Developer

Phoenix, AZ

$90K - $130K/yr

Full Stack Developer Status: Full-time, On-site Department: Technology Reports to: Director of ... Optimize data access and storage using Entity Framework , SQL Server , and efficient query design.

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 ...

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 ...

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Showing results 1-20

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Tempe, AZ

Full Stack Data Engineer information

See Tempe, AZ salary details

$43.3K

$131.2K

$185.4K

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

As of Jul 29, 2026, the average yearly pay for full stack data engineer in Tempe, AZ is $131,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $153,800.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior full stack data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires a combination of technical proficiency, leadership, and industry experience.

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 does a full-stack data engineer do?

A full-stack data engineer designs, develops, and maintains data pipelines, databases, and data processing systems across both backend and frontend components. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis and application use. This role often requires knowledge of data architecture, ETL processes, and programming skills to support data-driven decision-making.

Can I make 200K as a data engineer?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in tools like Spark or Hadoop can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual qualifications.

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 engineers make $300,000 a year?

Full Stack Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects seniority, specialized knowledge, and leadership roles within organizations. Certifications like AWS or Google Cloud and a strong portfolio can also contribute to higher salaries.

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 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.
What are popular job titles related to Full Stack Data Engineer jobs in Tempe, AZ? For Full Stack Data Engineer jobs in Tempe, AZ, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Engineer jobs in Tempe, AZ look for? The top searched job categories for Full Stack Data Engineer jobs in Tempe, AZ are:
What cities near Tempe, AZ are hiring for Full Stack Data Engineer jobs? Cities near Tempe, AZ 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 Tempe, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,153 per year, or $63.1 per hour.

Full Stack Engineer

IntraEdge

Phoenix, AZ • On-site

Full-time

Re-posted 15 days ago

Job description

This role is about
Designing and building scalable, enterprise-grade full stack applications, leveraging modern technologies and GenAI to accelerate development, improve code quality, and enable intelligent, reusable solutions across backend and frontend systems.
  • Applications are built with a scalable, API-first architecture using Java, REST, and GraphQL
  • Systems are designed to handle large-scale data processing and Big Data querying
  • Development is accelerated using GenAI tools for code generation, optimization, and documentation
  • Solutions are reusable, modular, and aligned with enterprise-wide standards
  • CI/CD pipelines enable continuous integration, deployment, and validation with minimal manual effort
  • Systems are designed with performance, security, and maintainability as core principles
Role and Responsibility
  • Design and build scalable full stack applications across backend and frontend layers
  • Develop and maintain REST APIs and GraphQL services for enterprise use cases
  • Build and optimize data-intensive applications using Big Data querying techniques
  • Leverage Vert.x or similar reactive frameworks for high-performance, asynchronous systems
  • Use GenAI tools (e.g., GitHub Copilot, other AI dev platforms) to accelerate development and improve code quality
  • Ensure applications follow software development best practices (clean architecture, design patterns, testing)
  • Build modular, reusable components that can be adopted across teams
  • Integrate applications with CI/CD pipelines (GitHub Actions, Jenkins, etc.) for continuous delivery
  • Collaborate with cross-functional teams (product, architecture, QA) to align with enterprise standards and real user needs
  • Analyze existing codebases across teams to identify gaps, standardize approaches, and improve overall system design
  • Contribute to improving developer productivity and engineering excellence using AI-driven approaches
Skillset
  • Strong hands-on experience in Java development
  • Expertise in building REST APIs and GraphQL services
  • Experience with Big Data querying and handling large datasets
  • Hands-on experience with Vert.x or similar reactive programming frameworks
  • Strong understanding of full stack development (backend + UI)
  • Experience with frontend technologies (React, Angular, or similar)
  • Familiarity with GenAI tools (GitHub Copilot or similar AI-assisted development platforms)
  • Experience with CI/CD pipelines (GitHub Actions, Jenkins, etc.)
  • Strong knowledge of software design principles, system design, and microservices architecture
  • Experience working with distributed systems and scalable architectures
  • Understanding of code quality, testing strategies, and performance optimization
  • Ability to work across teams and align with enterprise-wide standards
Preferred
  • Prior American Express experience
  • Experience working in enterprise-scale environments with multiple teams and systems
  • Exposure to AI-driven development practices or intelligent engineering workflows

IntraEdge logo

About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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