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

AI Full-Stack Engineers Location: Scottsdale, Arizona (Onsite - 5 Days/Week) Job Type: Fulltime ... Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with ...

Sr. Full Stack Engineer

Scottsdale, AZ · On-site

$108K - $140K/yr

Role Overview We are seeking a Senior Full Stack Engineer with deep API management experience to ... party data providers. This role sits at the intersection of product velocity and platform ...

Full-Stack AI Engineer - AWS AI Location: Scottsdale, Arizona (Onsite Preferred - 5days) Employment ... Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with ...

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.

AI Full-Stack Engineers Location: Scottsdale, Arizona (Onsite - 5 Days/Week) Job Type: Fulltime ... Ensure data protection measures are integrated throughout the information lifecycle to safeguard ...

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.

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.

Full-Stack AI Engineer - AWS AI Location: Scottsdale, Arizona (Onsite Preferred - 5days) Employment ... Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

EC2, RDS, DynamoDB, Batch, EMR, Redshift • 1+ years of Full-Stack web application development ... Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub ...

We work alongside client product, engineering, security, privacy, data, risk, compliance, and ... As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will ...

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied ... As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and ...

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 ...

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 ...

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 ...

Showing results 21-40

Full Stack Data Engineer information

See Tempe, AZ salary details

$42.6K

$129.1K

$182.5K

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

As of Sep 10, 2026, the average yearly pay for full stack data engineer in Tempe, AZ is $129,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $151,300.00 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:

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.

AI Full-Stack Engineers

Scottsdale, AZ • On-site

Socket.dev
Network Security • 1 - 10 employees

Other

Posted 5 days ago


Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

Job Title: AI Full-Stack Engineers
Location: Scottsdale, Arizona (Onsite - 5 Days/Week)
Job Type: Fulltime
Domain: Retail

About the Role:

Senior full-stack AI engineers with 3–5 years of hands‑on engineering experience using Python, model and API integration, prompt and agent engineering, evaluation harnesses, AWS AI services, Azure AI, Azure AI Foundry, Copilot Studio, Azure OpenAI, APIs, integration patterns, agentic workflows, retrieval and grounding patterns, testing, debugging, DevSecOps practices, deployment support, observability, and enterprise documentation.

Primary Responsibilities

Build and support AI‑enabled use cases, agents, automation workflows, APIs, prototypes, production‑ready components, evaluations, test plans, technical documentation, operational handoff materials, and platform integration patterns across AWS and Azure.

Required Qualifications Education
  • Bachelor’s degree in computer science, Information Systems, Engineering, or related discipline.
  • Equivalent work experience may be considered.
Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.Bounteous is willing to sponsor eligible candidates for employment visas.

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