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Python Jobs in Buckeye, AZ (NOW HIRING)

Tata Consultancy Service Limited

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 ...

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 ...

Intelliswift Software

Physical Design Engineer

Phoenix, AZ · On-site

$135K - $139K/yr

Python Programming Language - * Physical Design Develop & own physical design implementation of multi-hierarchy low-power designs including physical-aware logic synthesis, design for testability ...

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$12

$57

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How much do python jobs pay per hour?

As of Jul 23, 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.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. Employers seek candidates with strong programming skills, experience with frameworks like Django or Flask, and knowledge of related tools such as Git and cloud platforms. The demand is expected to grow as Python remains a key language for emerging technologies.

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 careers can you do with Python?

Python is a versatile programming language used in various careers such as software development, data analysis, machine learning, web development, automation, and cybersecurity. Professionals often work as developers, data scientists, machine learning engineers, or DevOps specialists, utilizing tools like frameworks, libraries, and cloud platforms. Strong problem-solving skills and knowledge of related technologies enhance job prospects in these fields.

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, senior software engineers, data scientists, and machine learning engineers with extensive experience and advanced skills can earn salaries of $300,000 or more annually. Executive roles such as CTOs and senior management in tech companies also often reach or exceed this compensation level, especially with bonuses and stock options.

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.

More about Python jobs
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:
Python jobs near you
Infographic showing various Python job openings in Buckeye, AZ as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,050 per year, or $57.2 per hour.
Senior Python Insurance Pricing & Hyperexponential (HX) Specialist

Senior Python Insurance Pricing & Hyperexponential (HX) Specialist

Okaya Corp.

Phoenix, AZ • On-site

Contractor

Posted 27 days ago

Job description

Job Summary
We are seeking an experienced Senior Python Insurance Pricing & Hyperexponential (HX) Specialist with strong expertise in insurance rating and pricing systems along with hands-on Python development experience. The ideal candidate will be responsible for designing, developing, enhancing, and maintaining pricing and rating solutions for insurance products.
The role requires strong knowledge of insurance rating methodologies, the ability to translate actuarial and underwriting requirements into technical solutions, and experience working with Hyperexponential (HX) or similar insurance pricing platforms. Experience in predictive modeling and pricing optimization will be considered a strong advantage.
Key Responsibilities
  • Design, develop, and maintain insurance rating and pricing logic using Python.
  • Implement and enhance rating algorithms, factor tables, discounts, surcharges, and validation rules.
  • Translate actuarial specifications, underwriting guidelines, and business requirements into scalable technical pricing solutions.
  • Configure and support HX-based product and pricing models.
  • Integrate pricing and rating services with policy administration and downstream systems using REST APIs and service-based architectures.
  • Perform unit testing, validation testing, and regression testing of rating and pricing calculations.
  • Support product launches, pricing updates, regulatory changes, and rate revisions.
  • Analyze pricing and rating outcomes to support model optimization and refinement.
  • Collaborate closely with Actuarial, Product, Underwriting, QA, and DevOps teams.
  • Troubleshoot and resolve production issues related to pricing and rating logic.
  • Contribute to technical best practices, continuous improvement, and solution optimization initiatives.

Mandatory Skills & Qualifications
Technical Skills (Must-Have)
  • Strong hands-on Python development experience, including:
    • Object-Oriented Programming (OOP)
    • Data structures and algorithms
    • Performance optimization
  • Proven experience building, enhancing, or supporting insurance rating/pricing engines.
  • Strong SQL and relational database expertise.
  • Hands-on experience with RESTful APIs and service-oriented architectures.

Insurance Domain Expertise (Must-Have)
Strong understanding of insurance rating and pricing concepts, including:
  • Base rates and modifiers
  • Tiering, discounts, and surcharges
  • Risk factors and territories
  • Classes, deductibles, and coverage limits

Experience working with insurance products is required, preferably within the Property & Casualty (P&C) domain. Candidates from other insurance domains with strong pricing/rating experience will also be considered.
Desired / Preferred Skills
  • Knowledge or hands-on experience with Hyperexponential (HX) or similar insurance pricing platforms.
  • Experience in predictive modeling for insurance pricing or risk assessment.
  • Familiarity with statistical modeling or machine learning techniques used in underwriting and pricing.
  • Exposure to actuarial pricing models and methodologies.
  • Experience with cloud platforms such as:
    • Azure
    • AWS
    • GCP
  • Understanding of CI/CD pipelines and DevOps practices.
  • Experience with Duck Creek Rating or Policy modules is a plus.

Kindly submit the resume with the details mentioned below, ensuring each submission follows the required format.
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