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Average Coder Jobs in Arizona (NOW HIRING)

MY DR NOW

Healthcare Recruiter

Chandler, AZ · On-site

$70K - $100K/yr

THIS IS NOT YOUR AVERAGE RECRUITING JOB. At MY DR NOW, we are building the future of healthcare ... Coding Teams • Operations & Leadership Roles We want recruiters who: ✅ Take ownership ✅ Move ...

Day & Night

Service Plumber

Phoenix, AZ · On-site

Our technicians average $95,000K annually but you have the potential to make as much as $160,000 ... Have a working knowledge of plumbing codes * Understand the methods, materials, and standard tools ...

Drybar Shops

Drybar Shops

Scottsdale, AZ · On-site

$22 - $28/hr

Hourly wages, tips and commissions (on average $22-$28+ per hour with all combined). * Paid blowout ... That's the dress code. * An amazing, fun, family-feel shop culture. * Health Insurance for ...

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All JobsAverage Coder JobsAverage Coder Jobs in Arizona

Average Coder information

See Arizona salary details

$14

$25

$40

How much do average coder jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for average coder in Arizona is $25.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $32.26 per hour, depending on experience, location, and employer.

Is 25 too late to start coding?

Starting a career as an average coder at 25 is common and feasible, as many successful programmers begin learning at various ages. Developing skills in programming languages, practicing regularly, and building a portfolio can lead to job opportunities regardless of age. Age is less important than dedication and continuous learning in the tech industry.

What are some of the most common challenges faced by an Average Coder in their daily work?

Average Coders often encounter challenges such as debugging legacy code, adapting to frequent changes in project requirements, and collaborating with team members who have varying levels of technical expertise. Balancing multiple tasks while ensuring code quality and meeting deadlines can also be demanding. Building effective communication skills and staying current with industry best practices can help address these challenges and improve overall job performance.

What hot tech job pays $775 000?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn total compensation around $775,000 or more annually. These roles typically require advanced skills, extensive experience, and often involve stock options or bonuses as part of the compensation package.

What are the key skills and qualifications needed to thrive as a Coder, and why are they important?

To thrive as a Coder, you need a solid understanding of programming languages, problem-solving abilities, and often a degree in computer science or related experience. Familiarity with code editors, version control systems like Git, and sometimes certifications such as CompTIA or vendor-specific credentials are typically used. Attention to detail, persistence, and strong communication skills help coders collaborate and debug effectively. These skills are crucial to developing reliable software, meeting project deadlines, and ensuring seamless teamwork in development environments.

What are Average Coders?

An Average Coder is an individual who possesses a moderate level of programming skills. They are capable of writing and understanding code, solving common programming problems, and contributing to software projects, but may not have advanced expertise or specialized knowledge. Average Coders often work under guidance, continuously improving their abilities through experience and learning. They play important roles in teams by handling routine coding tasks, debugging, and maintaining codebases. Their proficiency allows them to support project goals while developing their skills.

How much do average coders make?

Average coders, often entry-level or junior programmers, typically earn between $50,000 and $80,000 annually depending on experience, location, and industry. Skilled coders with several years of experience or specialized skills in languages like Python or Java may earn higher salaries, especially in tech hubs or with certifications.

Is coding a high paying career?

Coding jobs, such as software developers and programmers, often offer high salaries compared to many other professions, especially with experience, specialized skills, and certifications. Salaries can vary based on industry, location, and level of expertise, but overall, coding is considered a well-paying career option.

What is the difference between Average Coder vs Software Developer?

AspectAverage CoderSoftware Developer
CredentialsBasic coding knowledge, often self-taught or entry-level certificationsBachelor's degree in Computer Science or related field, certifications may vary
Work EnvironmentTypically in team settings, focusing on coding tasksInvolves designing, developing, testing, and maintaining software applications
Industry UsageCommon in tech companies, outsourcing, and freelance workUsed across industries for creating software solutions, apps, and systems

The main difference between an Average Coder and a Software Developer lies in scope and responsibilities. While an Average Coder primarily writes code based on specifications, a Software Developer engages in the full software development lifecycle, including design, testing, and deployment. Developers often have more formal education and broader skill sets, making them suitable for complex projects.

What cities in Arizona are hiring for Average Coder jobs? Cities in Arizona with the most Average Coder job openings:
Average Coder jobs near you
Senior Forward Deployed Engineer, Frontier GenAI

Senior Forward Deployed Engineer, Frontier GenAI

Deloitte

Tempe, AZ

$100K - $137K/yr

Other

Re-posted 4 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Senior Frontier GenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Senior Frontier GenAI FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include: 

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.
  • Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.
  • Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.
  • Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 5+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $155,600 to $306,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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