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

Koantek

Full Stack Application Developer

Mesa, AZ · On-site

Full Stack Application Developer Location: Remote-USA Employment Type: Contract Department ... Collaborate with data engineers, platform engineers, architects, product stakeholders, and ...

Koantek

Full Stack Application Developer

Mesa, AZ · Remote

Full Stack Application Developer Location: Remote-USA Employment Type: Contract Department ... Develop applications and user experiences that integrate seamlessly with data and analytics ...

IntraEdge

Full Stack Engineer

Phoenix, AZ

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 ...

TEKsystems

Full Stack Python Developer

Chandler, AZ

$70 - $96/hr

Full Stack Python/React Developer W2 ONLY - NO C2C Hybrid in Chandler, AZ We are seeking a Full ... Create and maintain data pipelines and service integrations * Collaborate across teams to define ...

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 · 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.

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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 Aug 19, 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 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 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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,153 per year, or $63.1 per hour.

Full Stack Application Developer

Koantek

Mesa, AZ • On-site

Contractor

Posted 5 days ago

Job description


Job Title: Full Stack Application Developer
Location: Remote-USA
Employment Type: Contract
Department: Engineering
Role Overview
Koantek is seeking multiple experienced Full Stack Application Developer to design and build modern, production-ready applications and user experiences. This role requires strong hands-on experience developing Single Page Applications (SPAs), building scalable backend services and APIs, and working with relational databases.
The ideal candidate combines strong application engineering fundamentals with a bias toward action, excellent communication skills, and technical leadership. Experience with Databricks Apps and the broader Databricks platform is highly desirable but not required.
Key Responsibilities
Front-End & Application Engineering
  • Design, develop, and deploy modern Single Page Applications (SPAs) using frameworks such as React, Angular, or similar technologies.
  • Build intuitive, responsive, and maintainable front-end experiences using modern JavaScript/TypeScript development practices.
Backend, APIs & Databases
  • Develop scalable backend services and REST APIs using frameworks such as FastAPI, Flask, Node.js, or similar technologies.
  • Design and integrate applications with relational databases, with a strong emphasis on PostgreSQL.
  • Build end-to-end application functionality spanning front-end, backend, APIs, authentication, and data layers.
Architecture & Collaboration
  • Collaborate with data engineers, platform engineers, architects, product stakeholders, and customers to translate business requirements into working applications.
  • Develop applications and user experiences that integrate seamlessly with data and analytics platforms.
  • Drive technical decisions, produce clean, well-tested code, and contribute to engineering standards and best practices.
  • Take full ownership of deliverables, moving projects from initial concept through production deployment.
⚙ Qualifications
Must-Have Qualifications
  • Full-Stack Expertise: Strong professional experience in full-stack application development.
  • Front-End Proficiency: Demonstrated experience designing/building production SPAs using React, Angular, or equivalent alongside JavaScript and TypeScript.
  • Backend & API Mastery: Hands-on experience building backend services and REST APIs using FastAPI, Flask, Node.js, or equivalent frameworks.
  • Database Experience: Strong experience with relational database design, queries, performance optimization, and integration (PostgreSQL preferred).
  • Modern Architecture: Solid understanding of modern web architecture, API integration, authentication, security, testing, and deployment practices.
  • Autonomy: Ability to independently take a feature or application from concept through production delivery.
Nice-to-Have Qualifications
  • Experience developing and deploying Databricks Apps or working with the Databricks Data Intelligence Platform.
  • Familiarity integrating applications with custom Databricks APIs, SQL Warehouses, Unity Catalog, Databricks SQL, Delta Lake, or Lakehouse architectures.
  • Experience building data-intensive or analytics-focused web applications.
  • Cloud application development experience with AWS, Azure, or GCP.
  • Experience with containers,

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