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Python Developer Contract Jobs in Arizona (NOW HIRING)

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Contract * Develop and implement AI solutions using Python and AI frameworks such as Langgraph and ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Inficare Technologies

DevOps Engineer

Phoenix, AZ · On-site

$52.50 - $71.75/hr

Contract Experience: 9+ years Job Overview Our client is seeking an experienced DevOps Engineer to ... Python programming * Linux command-line proficiency * DevOps pipeline tools: XLR, Jenkins, GitHub ...

I3infotek

GIS Developer

Phoenix, AZ · On-site

$44/hr

Phoenix, AZ (Two Days Onsite) 6 Months W2 Contract Position Description The GIS Developer is a key ... Python programming and ArcPy scripts and tools * ArcGIS Pro knowledge: basic geospatial analysis ...

Select Minds LLC

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite | Minimum 3 Days/Week) Duration: Long Term Contract Experience Required: 5+ Years We are seeking an ...

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Python Developer Contract information

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How much do python developer contract jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python developer contract in Arizona is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

What is a python developer contract?

A Python Developer Contract is a temporary work agreement where a developer is hired specifically to work on projects or tasks that require expertise in the Python programming language. Contract roles typically have a set duration and may be project-based, allowing businesses to scale their development teams flexibly. Contractors are usually responsible for writing code, debugging, and deploying Python applications, and may work independently or as part of a larger team. This arrangement benefits both employers seeking specialized skills for a limited time and developers looking for varied project experiences.

What are some common challenges faced by python developers working on contract, and how can they be addressed?

Python developers working on contract often encounter challenges such as integrating with existing codebases, rapidly understanding project requirements, and adapting to varying team workflows. To address these, contractors should prioritize clear communication with project stakeholders, actively seek documentation, and utilize version control systems like Git. Being proactive in asking questions and participating in team meetings can help contractors quickly align with project goals and deliverables, ensuring smooth collaboration and successful project outcomes.

What are the key skills and qualifications needed to thrive as a python developer contract, and why are they important?

To thrive as a Python Developer on contract, you need strong skills in Python programming, software development best practices, and often a relevant degree or proven project experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and knowledge of cloud platforms or CI/CD tools are typically required. Effective communication, time management, and adaptability are crucial for collaborating remotely and meeting project deadlines. These skills ensure high-quality, efficient code delivery and seamless integration with project teams in dynamic contract environments.

What is the difference between Python Developer Contract vs Python Developer Full-Time?

AspectPython Developer ContractPython Developer Full-Time
CredentialsTypically requires proficiency in Python, relevant certifications optionalSame as contract, often with additional experience or certifications preferred
Work EnvironmentProject-based, flexible hours, remote or onsitePermanent employment, regular hours, often onsite or hybrid
Employer & Industry UsageUsed across startups, agencies, and tech firms for specific projectsCommon in established companies, tech firms, and enterprises
Search & Comparison IntentOften searched for project-based roles, freelance opportunitiesTypically searched for stable, long-term employment

In summary, Python Developer Contract roles focus on short-term, project-specific work with flexible arrangements, while Python Developer Full-Time positions offer stability, benefits, and long-term employment within organizations.

What are the most commonly searched types of Python Developer jobs in Arizona?

The most popular types of Python Developer jobs in Arizona are:

Python Developer Contract jobs near you
Infographic showing various Python Developer Contract job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,627 per year, or $54.6 per hour.

AI Python Engineer

Phoenix, AZ • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Senior AI Python Engineer
Location: Phoenix, AZ (Hybrid - 3 days onsite)
Job Type: Long-Term Contract
Experience: 10+ years
Job Overview
We are looking for a Senior Engineer - Artificial Intelligence to design and build impactful, intelligent, and secure AI solutions in the Information Security, Governance, and Control space. You will translate complex business requirements into scalable, production-ready AI applications using cutting-edge Generative AI and agentic frameworks.
Key Responsibilities
  • Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks
  • Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics
  • Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring, and documentation
  • Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes
  • Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data teams
  • Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps
Required Skills
  • Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Hands-on experience with LLMs, NLP, embeddings, RAG, and prompt engineering
  • Experience with agentic AI frameworks: LangChain, LangGraph, AutoGen, or CrewAI
  • Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases
  • MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi
Preferred Skills
  • Flask, FastAPI, Hugging Face, Triton Inference Server
  • pgVector, Milvus, Prometheus, Elasticsearch, Kibana
  • CI/CD: Jenkins, GitLab CI, XL Release
Location & Work Model
Phoenix, AZ - Hybrid (3 days onsite per week)
Engagement Details
Long-term contract engagement. Bachelor's degree in Computer Science, Engineering, Data Science, AI, or a related field required.

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