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Python Developers Jobs in Arizona (NOW HIRING)

Infosys

Python Ansible Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Python, Ansible and shell scripting. • Experience in Ansible is highly recommended to perform day to day responsibilities. Preferred Skill and Experience • Experience in SRE/production support ...

Intraedge

Python/Java Engineer

Phoenix, AZ · Hybrid

Python/ Java Engineer Long term contract Phoenix, AZ (Hybrid-3 days onsite) Direct client- Immediate client interview This is for Core infrastructure team (Mainframe engineering). Skills: Python Java ...

Intraedge

Python/ Java Engineer

Phoenix, AZ · Hybrid

Job Title: Python/ Java Engineer Location:Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration: Long Term Contract Skills: Python Java Elastic Grafana Opensearch Front End Web ...

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

Stanley David and Associates

AI Engineer

Phoenix, AZ · On-site

Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: Design ... Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud ...

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How much do python developers jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for python developers in Arizona is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

Are Python developers still in demand?

Python developers are currently in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Organizations seek professionals skilled in frameworks like Django and data tools such as Pandas, making Python a valuable skill for many tech roles.

What are some common challenges Python Developers face when working on collaborative projects?

Python Developers often encounter challenges related to code consistency and integration when working with larger teams. Maintaining a uniform coding style, managing dependencies, and resolving merge conflicts are frequent issues, especially in fast-paced agile environments. Effective communication, using version control systems like Git, and adhering to clear documentation practices can help overcome these challenges. Collaborating closely with project managers, QA testers, and other developers is key to ensuring smooth workflow and successful project delivery.

Are Python still in demand in 2026?

Python developers continue to be in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. As organizations increasingly adopt Python for emerging technologies, the need for skilled developers with knowledge of frameworks like Django or data libraries like Pandas remains strong in 2026.

What are Python developers?

Python developers are software engineers who specialize in using the Python programming language to build, test, and maintain software applications. They work on a variety of projects, from web and mobile applications to data analysis, automation, and artificial intelligence. Python developers are skilled in writing clean, efficient code and often collaborate with other developers, designers, and stakeholders to create functional and user-friendly solutions.

What is the difference between Python Developers vs Data Analysts?

AspectPython DevelopersData Analysts
Required SkillsProficiency in Python, software development, coding, algorithmsData analysis, statistical skills, Excel, SQL, some Python for scripting
Work EnvironmentSoftware companies, tech startups, development teamsBusiness, finance, marketing departments, data-driven roles
Common CertificationsPython certifications, software development coursesData analysis certifications, SQL, Excel certifications

Python Developers focus on building software applications using Python, emphasizing coding and development skills. Data Analysts interpret data to provide insights, often using Python for scripting but primarily working with data tools. Both roles require analytical skills, but Python Developers are more involved in software creation, while Data Analysts focus on data interpretation and reporting.

Is Python developer a good career?

A Python developer is a valuable role in the tech industry, with high demand across various sectors such as web development, data analysis, and machine learning. The role often requires knowledge of frameworks like Django or Flask and proficiency in related tools, offering opportunities for career growth and competitive salaries.

Will AI replace Python coders?

AI is unlikely to fully replace Python developers, as their role involves problem-solving, designing algorithms, and understanding complex systems that require human judgment. AI tools can assist with coding tasks and automate repetitive work, but human oversight and creativity remain essential for software development. Python developers who adapt by learning AI and machine learning skills can enhance their value in the evolving tech landscape.

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

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required, with certifications in Python or cloud platforms being valuable. Problem-solving, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are essential for building robust software solutions, collaborating with teams, and adapting to evolving project requirements.
What cities in Arizona are hiring for Python Developers jobs? Cities in Arizona with the most Python Developers job openings:
Python Developers jobs near you

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies Llc

Phoenix, AZ

Full-time

Posted 28 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python.
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration.
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices.
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases.
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven).
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments.
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions.
  • Good understanding of data structures, algorithms and design patterns
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.