1

Python Jobs in Maricopa, 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 ...

Python Private Tutoring Jobs

Mesa, AZ · On-site

$49.75 - $68.75/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

Python Private Tutoring Jobs

Chandler, AZ · On-site

$49.25 - $68/hr

We are looking for students, professionals, retirees or anyone with a passion to share, to join the largest community of teachers worldwide! If you have free time and want to share your knowledge, we ...

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 ...

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 ...

next page

Showing results 1-20

Python information

See Maricopa, AZ salary details

$12

$57

$84

How much do python jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for python in Maricopa, AZ is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $64.95 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.

What are the most commonly searched types of Python jobs in Maricopa, AZ? The most popular types of Python jobs in Maricopa, AZ are:
What cities near Maricopa, AZ are hiring for Python jobs? Cities near Maricopa, AZ with the most Python job openings:
Infographic showing various Python job openings in Maricopa, AZ as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $118,978 per year, or $57.2 per hour.

Senior Python Backend Engineer

AIAEC LLC

Phoenix, AZ • On-site

Full-time

Posted 25 days ago


Job description

Description:

Why AIAEC?

You’ll be at the forefront of the "AI in AEC" revolution. We are a small, agile team where your architectural decisions directly impact how the built world is designed and constructed. If you enjoy solving "real-world" problems where code meets concrete, this is your spot.


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 engineering the backbone that integrates complex engineering datasets with cutting-edge LLMs. You will bridge the gap between high-level AI research and production-grade software, ensuring our infrastructure is scalable, observable, and resilient.


Key Responsibilities:


? API Architecture: Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI.

? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically focusing on RAG (Retrieval-Augmented Generation) workflows.

? Infrastructure & DevOps: Own the lifecycle of your services—from containerization with Docker to orchestration and deployment within Azure.

? Observability: Implement robust monitoring and distributed tracing using OpenTelemetry to ensure high availability and deep system insights.

? Database Integration: Review and optimize queries in PostgreSQL to handle complex spatial and relational data.

? Technical Leadership: Mentor junior developers, conduct rigorous code reviews, and drive engineering best practices (CI/CD, TDD, and Documentation).


Tech Stack: Python (FastAPI), Docker, Azure (preferred), OpenTelemetry, PostgreSQL

Requirements:

Technical Requirements:


  • Python Expertise: 5+ years of professional experience with Python, with a deep understanding of asyncio and performance profiling.
  • Frameworks: Mastery of FastAPI (including Pydantic, Dependency Injection, and Middleware).
  • Containerization: Solid experience with Docker.
  • Cloud & DevOps: Solid experience managing cloud infrastructure. While our stack is Azure-centric, strong experience with AWS or GCP is highly transferable and welcomed.
  • Observability: Practical experience with OpenTelemetry, Prometheus, or similar tools for tracking system health and performance.
  • Modern Tooling: Familiarity with Git-based workflows, CI/CD pipelines (Azure DevOps or
  • GitHub Actions), and automated testing suites.

Nice to Haves:

  • Experience with OpenAI API, LangChain, or LlamaIndex.
  • Background or interest in Civil Engineering, BIM (Building Information Modeling), or CAD software integration.
  • Experience with Vector Databases (e.g., Pinecone, Weaviate, or pgvector).