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Python Qa Jobs in Arizona (NOW HIRING)

... Quality assurance and control activities in developing a modern data platform. In this role you ... Good understanding in Object oriented languages and Python #LI-AC1 Summary If you're passionate ...

Senior Kafka Engineer

Tempe, AZ · On-site

$54.25 - $71.75/hr

Work independently to implement solutions across multiple environments (DEV, QA, UAT, PROD ... Programming proficiency - Expertise in Java or Scala , with potential Python usage depending on the ...

Software development or test (QA) experience. * Ability to travel 10-25% domestic and international. Preferred Qualifications * Preferred expertise in C/C++, C#, Python, Gitlab/Github. * Experience ...

AWS DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

You will work closely with development, QA, and operations teams to ensure secure, scalable, and ... Strong scripting skills in Python, Bash, or Shell . * Familiarity with monitoring & logging tools ...

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As a member of the Quality Assurance organization, the Software Development Engineer in Test will ... Java, python, SQL, Git, Maven, etc. • Use of various development and testing tools such as:

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Python Qa information

What is Python used for in QA?

In QA, Python is used for automating test scripts, developing testing frameworks, and performing data analysis to identify issues. QA professionals often utilize Python with testing tools like Selenium or pytest to improve testing efficiency and coverage.

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

To thrive as a Python QA, you need a strong understanding of software testing principles, proficiency in Python programming, and familiarity with QA methodologies. Experience with automated testing tools like Selenium or PyTest, version control systems such as Git, and knowledge of CI/CD pipelines is highly valuable. Attention to detail, strong problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure high-quality software releases, efficient bug identification, and productive collaboration with development teams.

What is the salary of Python test engineer?

The salary of a Python test engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in automation and testing tools can earn higher salaries.

How does a Python QA engineer typically collaborate with developers and other team members during the software development lifecycle?

As a Python QA engineer, you will work closely with developers, product managers, and other QA professionals throughout the software development lifecycle. This collaboration usually involves participating in planning meetings to understand requirements, reviewing code changes, writing and maintaining automated test scripts in Python, and providing feedback on potential issues. You’ll often pair with developers to reproduce bugs, discuss test results, and prioritize fixes, ensuring a smooth workflow and high-quality releases. Open communication and teamwork are key, as your insights help shape the product’s reliability and user experience.

What is the highest paying job in Python?

The highest paying jobs in Python typically include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, which require advanced programming skills, statistical knowledge, and experience with frameworks like TensorFlow or scikit-learn. These positions often offer salaries exceeding $120,000 annually, especially with specialized expertise and industry experience.

What QA software goes with Python?

Python QA professionals often use testing frameworks such as pytest, unittest, and nose for automated testing. Additionally, tools like Selenium, Appium, and Robot Framework are popular for web and application testing, while continuous integration systems like Jenkins and Travis CI support automated workflows. Familiarity with these tools enhances testing efficiency and coverage in Python projects.

What is the difference between Python Qa vs Python Developer?

AspectPython QaPython Developer
Required CredentialsKnowledge of testing frameworks, basic programming skillsProficiency in Python, software development experience
Work EnvironmentQuality assurance teams, testing labsDevelopment teams, coding environments
Industry UsageSoftware testing, QA departmentsApplication development, software engineering
Common Search IntentTesting, quality assurance rolesDevelopment, coding projects

Python Qa focuses on testing and quality assurance processes using Python, ensuring software functions correctly. Python Developers primarily write and maintain code, building applications and systems. While both roles require Python knowledge, Python Qa emphasizes testing skills, whereas Python Developers focus on development tasks.

What does a Python QA do?

A Python QA (Quality Assurance) professional is responsible for ensuring the quality and functionality of software applications by writing and executing tests using Python. They develop automated test scripts, identify bugs, collaborate with developers to resolve issues, and ensure that software meets specified requirements. Python QAs play a critical role in maintaining product stability and reliability throughout the development process.
Infographic showing various Python Qa job openings in Arizona as of June 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Python Insurance Pricing & Hyperexponential (HX) Specialist

Okaya Corp.

Phoenix, AZ • On-site

Contractor

Posted 4 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.

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