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Hourly Python Jobs in Arizona (NOW HIRING)

Agap Technologies

Python Fullstack Training

Tucson, AZ · On-site

... Python Fullstack training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT ...

Pwc

GenAI Python Systems Engineer-Manager

Phoenix, AZ · On-site

$99K - $232K/yr

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 ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

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 ...

AVTC Group

Software Engineer Java Python

Tucson, AZ

Experience in developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Experience in utilizing integrated ...

AVTC Group

Software Engineer Java Python

Tucson, AZ · On-site

... Python or Visual Basic. • Experience in utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. • ...

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Hourly Python information

What does an Hourly Python developer do?

An Hourly Python developer is a programmer who is hired on an hourly basis to create, modify, or maintain software using the Python programming language. Their tasks can range from developing web applications and automating tasks to analyzing data or building machine learning models. Hourly Python developers are often engaged for specific projects or short-term work, allowing businesses to scale their development resources as needed. They may work independently or as part of a team, and are usually paid based on the number of hours worked rather than a fixed salary.

What are the key skills and qualifications needed to thrive as an Hourly Python Developer, and why are they important?

To succeed as an Hourly Python Developer, you need strong programming skills in Python, experience with frameworks like Django or Flask, and a solid understanding of software development principles. Familiarity with version control systems such as Git, cloud platforms, and possibly certifications like PCEP or PCAP are often expected. Effective communication, problem-solving abilities, and adaptability help you collaborate with clients and teams while managing project-based workloads. These competencies ensure you can deliver high-quality, efficient solutions in dynamic and time-sensitive environments.

What types of projects can Hourly Python developers expect to work on, and how does the project structure typically look?

Hourly Python developers are often brought in to support a variety of short-term or specialized projects, such as data analysis, web application enhancements, automation scripts, or bug fixes. The work structure is usually project-based, with clear deliverables and timelines set by the client or team lead. Collaboration might happen remotely with regular check-ins via chat or video calls, and developers are expected to manage their own time efficiently. This role offers exposure to diverse projects and technologies, making it ideal for those who enjoy variety and learning new tools.
What are the most commonly searched types of Python jobs in Arizona? The most popular types of Python jobs in Arizona are:
What are popular job titles related to Hourly Python jobs in Arizona? For Hourly Python jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Hourly Python jobs in Arizona look for? The top searched job categories for Hourly Python jobs in Arizona are:
What cities in Arizona are hiring for Hourly Python jobs? Cities in Arizona with the most Hourly Python job openings:
Hourly Python jobs near you
Infographic showing various Hourly Python job openings in Arizona as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 37% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Engineer-ETL Tools & Python/ Python frameworks

Data Engineer-ETL Tools & Python/ Python frameworks

American Express

Phoenix, AZ • On-site

Full-time

Posted 5 days ago

American Express rating

8.5

Company rating: 8.5 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

26th of 138 rated financial services

Job description

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Technology organization enables and accelerates the company's growth strategies, delivering global capabilities and services in support of Amex's customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.

At American Express, our mission is to deliver the world's best customer experience every day. At the heart of this mission is our Information Security organization, enabling exceptional experiences built on a foundation of trust, service, and security. We leverage advanced technologies and data-driven insights to stay ahead of an evolving threat landscape. We foster a culture of passion, curiosity, and courage-empowering you to innovate, grow, and help shape the future of a Fortune 100 company.

Trust. Service. Security.
 

We are seeking a Data Engineer in the Incident Response Tooling team to design, develop and implement data pipelines to source data from internal or external sources using various technologies like API (REST / Graph), Data Brokers, ETL tools, etc. The ideal candidate will have strong analytical skills, ability to spot data anomalies in large volume of data, willingness learn new technologies, and collaborative nature to work in a team setting. 

  • 5+ years of experience in data engineering projects and bachelor's degree in Software Engineering, Computer Science, Mathematics, or Information Systems.
  • At least 3+ years of experience in Python and Python Frameworks e.g. Django, FastAPI etc.
  • Experience in developing RESTful APIs.
  • Good experience of working on Kubernetes, Docker and containerized platform.
  • Hands-on experience on ELK stack with experience in building logstash pipeline for a high volume data flow.
  • Proficiency with data flow solutions like Apache Nifi, Apache Airflow, AWS Glue, Azure Data Factory or similar tools.
  • Experience with relational database management systems such as Microsoft SQL Server, Postgres.
  • Basic knowledge of Linux based systems
  • Experience in building data pipeline using Google Cloud native services.
  • Knowledge on usage of CICD tools.
  • Soft Skills - analytical attitude, critical thinking, self-driving, proactive.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for some positions.

  • Design and implement RESTful APIs to support backend data engineering pipelines and front-end functionality in case of web application. 
  • Develop data flows using ETL tools.
  • Spot patterns, correlate data and understand its value in solving business use cases.
  • Collaborate with the development team to define and implement CI/CD pipelines.
  • Utilize Git for version control and collaborate on code reviews.
  • Ensure the performance, quality, and responsiveness of data pipelines and applications.
  • Identify and fix bugs and performance bottlenecks.
  • Stay up-to-date with emerging technologies and industry trends.

What American Express employees say

Pay

Benefits

Hours and flexibility

Workplace

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