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Python Jobs in Buckeye, AZ (NOW HIRING)

As a Senior Python Backend Engineer at AIAEC, you will be a key architect and builder of ChatAEC and our suite of AI-driven civil engineering tools. You won't just be writing APIs; you will be ...

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 ...

SRE Developer with Python

Phoenix, AZ

$56.50 - $75.25/hr

Must Have Technical/Functional Skills Looking for an experienced SRE with strong Python engineering and cloud infrastructure (AWS & Google Cloud Platform) experience. The role focuses on reliability ...

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain ...

AI Engineer

Phoenix, AZ · On-site

$100K - $120K/yr

Typescript and Python, Gen AI, Agentic AI Experience Required - 6+ Years Role Overview: Design, develop, and deploy scalable AI/ML and GenAI solutions to solve complex business problems. Work closely ...

Experience working on Typescript and Python, Gen AI, Agentic AI * Advanced proficiency in Python, Hands-on experience with PyTorch, TensorFlow, Hugging Face. * Practical knowledge of model ...

New

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 ...

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How much do python jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python in Buckeye, AZ is $57.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve working in environments that emphasize scripting, data processing, or web development.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What jobs can I get in Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks like Django or Flask, data analysis libraries such as Pandas, and proficiency in scripting and problem-solving. Python skills are valuable across industries like technology, finance, healthcare, and research.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles for Python developers typically include senior software engineers, data scientists, machine learning engineers, and technical leads, especially in finance, technology, and consulting firms. These positions often require advanced skills, extensive experience, and sometimes specialized certifications, with salaries reaching or exceeding $300,000 annually in competitive markets.

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, knowledge of software development principles, and typically 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 highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What are the most commonly searched types of Python jobs in Buckeye, AZ? The most popular types of Python jobs in Buckeye, AZ are:
What job categories do people searching Python jobs in Buckeye, AZ look for? The top searched job categories for Python jobs in Buckeye, AZ are:
What cities near Buckeye, AZ are hiring for Python jobs? Cities near Buckeye, AZ with the most Python job openings:
Infographic showing various Python job openings in Buckeye, AZ as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Hybrid job distribution, with an average salary of $119,050 per year, or $57.2 per hour.

Fullstack Dev with GraphQL (Python or Java)

Purple Drive Technologies

Phoenix, AZ • On-site

Full-time

Posted 29 days ago


Job description

Overview:
Description:
  • Expertise in either Full Stack Python (Django, Flask, or FastAPI, plus front-end frameworks like React, Angular, or Vue).
  • Full Stack Java (Spring Framework, Hibernate, plus front-end frameworks like React, Angular, or Vue).
  • Strong knowledge of databases (SQL and NoSQL, MS SQL, PostgreSQL, MySQL, MongoDB).
  • Hands-on experience with Microsoft Graph APIs.Proficiency in RESTful APIs, GraphQL, and microservices architecture.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Experience with Git, CICD pipelines, and DevOps practices.
  • Experience with event-driven architecture and messaging systems (Kafka, RabbitMQ).

Roles Responsibilities:
  • Full Stack Development Build, test, and deploy features across the entire stack, with strong emphasis on either Python (e.g., Django, Flask, FastAPI) or Java (e.g., Spring Framework).
  • API Integration: Design and implement integrations with Microsoft Graph APIs and other third-party systems.
  • Architecture Design: Contribute to system architecture and ensure scalability, security, and maintainability.
  • Continuous Improvement Stay up-to-date with best practices, frameworks, and tooling to enhance productivity and code quality. Quality Assurance Drive engineering excellence through unit tests, integration tests, and CI/CD practices.