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Python Engineer Jobs in Chandler, AZ (NOW HIRING)

FHR

A428-Python developer rec 5208

Phoenix, AZ · On-site

$60 - $70/hr

Arizona Department of Health Services (ADHS) 100% on site in Phoenix,AZ Our direct client has an opening for a Python developer rec 5208 This position is up to 12 months with the option of extension.

Infosys Limited Digital

Python Ansible Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Preferred Skill and Experience • Experience in SRE/production support • Experience as Analyst ... Python application development. • Skilled in Cloud programming with AWS or Azure. Additional ...

Infosys

Python Ansible Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Preferred Skill and Experience • Experience in SRE/production support • Experience as Analyst ... Python application development. • Skilled in Cloud programming with AWS or Azure. Additional ...

Deloitte

Power BI/Python Developer

Gilbert, AZ · Hybrid

$50 - $69/hr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Leverage Python for data wrangling, automation, and advanced analytics to enhance reporting ...

AIAEC LLC

Senior Python Backend Engineer

Phoenix, AZ · On-site

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 ...

Deloitte

Power BI/Python Developer

Gilbert, AZ · On-site

$50 - $69/hr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Leverage Python for data wrangling, automation, and advanced analytics to enhance reporting ...

Infosys

Python AWS Developer

Tempe, AZ · On-site

$49 - $67.25/hr

Required : • Development experience in Python and modern web technologies with Software Development background • Experience with AI‑assisted development tools and practices • Experience in ...

Tata Consultancy Services

Java Python & BOT

Phoenix, AZ · On-site

Tata Consultancy Services is a leading technology company, and they are seeking a Java Python & BOT Engineer. The role involves developing applications, monitoring for bot attacks, and implementing ...

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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All JobsPython Engineer JobsPython Engineer Jobs in Chandler, AZ

Python Engineer information

See Chandler, AZ salary details

$22.6K

$137.5K

$198.9K

How much do python engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python engineer in Chandler, AZ is $137,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $161,500.00 per year, depending on experience, location, and employer.

Is Python coding still in demand?

Python engineering remains highly in demand across industries such as data science, web development, and automation due to its versatility and ease of use. Employers seek Python skills for roles involving machine learning, scripting, and backend development, often requiring knowledge of frameworks like Django or Flask and proficiency with version control tools.

Will AI replace Python coders?

AI is unlikely to fully replace Python engineers, as their role involves designing, maintaining, and optimizing complex systems that require human judgment and creativity. While AI tools can automate certain coding tasks, Python developers will continue to be essential for developing new algorithms, debugging, and integrating AI solutions. Staying updated with AI and machine learning skills can enhance a Python engineer's value in the evolving tech landscape.

What is the difference between Python Engineer vs Data Scientist?

AspectPython EngineerData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; Python proficiencyBachelor's or higher in Data Science, Statistics, or related; Python and analytical skills
Work EnvironmentSoftware development teams, coding, testing, deploymentData analysis, modeling, visualization, research
Employer & Industry UsageTech companies, startups, software firmsFinance, healthcare, e-commerce, research institutions
Common Search & ComparisonYesYes

Python Engineers focus on developing and maintaining software applications using Python, while Data Scientists analyze data to extract insights, often using Python for data manipulation and modeling. Both roles require Python skills but serve different primary functions within organizations.

What does a Python Engineer do?

A Python Engineer is a software professional who specializes in designing, developing, and maintaining applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, and machine learning. Python Engineers collaborate with other team members to write clean and efficient code, debug issues, and ensure the performance and scalability of applications. Their expertise in Python allows them to leverage its libraries and frameworks to solve complex problems across different industries.

How much does a Python engineer make?

The average salary for a Python engineer varies by experience and location but typically ranges from $80,000 to $130,000 annually. Senior Python developers with specialized skills in frameworks like Django or Flask and experience in data analysis or machine learning can earn higher salaries, often exceeding $150,000. Many roles also require proficiency in version control, testing, and deployment tools.

What do Python engineers do?

Python engineers develop, test, and maintain software applications using the Python programming language. They often work with frameworks like Django or Flask, write clean code, and collaborate with teams on data analysis, automation, or web development projects.

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

To thrive as a Python Engineer, you need strong programming skills in Python, a solid understanding of computer science fundamentals, and experience with software development practices, often supported by a relevant degree or certification. Familiarity with frameworks like Django or Flask, version control systems such as Git, and cloud platforms like AWS or Azure are typically required. Excellent problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for building scalable, maintainable code and collaborating efficiently within development teams.

How do Python Engineers typically collaborate with other team members during the software development lifecycle?

Python Engineers work closely with cross-functional teams, including front-end developers, QA testers, product managers, and DevOps specialists. Collaboration often involves participating in code reviews, daily stand-up meetings, and sprint planning sessions to ensure alignment on project goals and technical requirements. Effective communication and using collaborative tools like Git, Jira, and Slack are essential for managing tasks, sharing updates, and resolving issues efficiently. This teamwork-driven environment helps deliver high-quality software and supports continuous learning from peers.

What Does a Python Engineer Do?

As a Python engineer, your job is to use the Python programming language and develop code for your company. Your duties include creating a new application, integrating Python software with an existing system, or testing existing code to iron out bugs. Most employers hiring for this role have specific goals for projects in mind, and it is your job to turn those goals into reality in the most effective way. You’re also expected to use other programming skills, particularly involving Django, JavaScript, and database architecture.

More about Python Engineer jobs
What are popular job titles related to Python Engineer jobs in Chandler, AZ? For Python Engineer jobs in Chandler, AZ, the most frequently searched job titles are:
What job categories do people searching Python Engineer jobs in Chandler, AZ look for? The top searched job categories for Python Engineer jobs in Chandler, AZ are:
Python Engineer jobs near you
Python Developer - Chandler, AZ- Hybrid - Contract opportunity (W2- Contract)

Python Developer - Chandler, AZ- Hybrid - Contract opportunity (W2- Contract)

Zodiac Solutions

Chandler, AZ • On-site

$49.50 - $68.25/hr

Contractor

Re-posted 26 days ago

Job description

Role: Python Developer

Location: Chandler, AZ - Hybrid 

Duration: 12-18 Months of Contract( No c2c, Looking for W2 candidates)

Skills: Python, Django, APIs integration

Core Python

  • Advanced Language Features: Deep knowledge of Decorators, Generators, Context Managers, and Multithreading/Multiprocessing.
  • Asynchronous Programming: Proficiency in asyncio for building high-performance, non-blocking applications—a must for modern backend roles.
  • Code Quality & PEP 8: Strict adherence to PEP 8 standards and the use of static analysis tools like MyPy, Flake8, and Black to ensure enterprise-grade code.
  • Testing Frameworks: Mastery of Pytest (including fixtures and mocking) to maintain high test coverage and prevent regressions.

Backend Frameworks & APIs

  • Web Frameworks: Expertise in at least one major framework: FastAPI (for high-speed async APIs), Django (for "batteries-included" monoliths), or Flask (for lightweight microservices).
  • API Design: Strong experience building and documenting RESTful APIs or GraphQL endpoints, including authentication (JWT, OAuth2) and rate limiting.
  • ORM Proficiency: Skilled in using SQLAlchemy or the Django ORM to interface with databases without sacrificing query performance.

Data & Infrastructure

  • Database Management: Proficiency in PostgreSQL or MySQL, including schema design, indexing, and complex SQL queries.
  • Memory Management & Performance: Ability to profile code and optimize for memory usage and execution time (understanding time complexity like $O(n)$ vs $O(1)$).
  • Containerization & DevOps: Hands-on experience with Docker for local development and CI/CD pipelines (GitHub Actions, GitLab CI) for automated deployment.
  • Environment Management: Expert use of dependency managers like Poetry, Pipenv, or Conda to maintain reproducible environments.

Thanks,

Sanjay Kumar

sanjay.kumar@zodiac-solutions.com