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How much do python contractor jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python contractor in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What is a Python contractor?

A Python Contractor is a professional software developer who specializes in Python programming and works on a contract basis rather than as a full-time employee. They are typically hired for specific projects or a set period to develop, test, and maintain Python-based applications. Python Contractors often work remotely or on-site, collaborating with teams to build web applications, data analysis tools, automation scripts, and more. Their responsibilities depend on the industry and project requirements, and they may be engaged by startups, enterprises, or agencies.

What are the key skills and qualifications needed to thrive as a Python contractor?

To thrive as a Python Contractor, you need strong programming skills in Python and related frameworks, experience with software development best practices, and a relevant degree or proven project track record. Familiarity with tools like Git, Docker, cloud platforms (such as AWS or Azure), and certifications in Python or software development are often advantageous. Strong communication, problem-solving abilities, and adaptability help differentiate top contractors in dynamic team environments. These skills and qualities are essential to deliver reliable, maintainable solutions while efficiently collaborating with stakeholders and adapting to varying client requirements.

What types of projects do Python contractors typically work on and what does a typical workday look like?

Python Contractors often work on a diverse range of projects, including web application development, data analysis, automation scripts, and integrating APIs for clients across different industries. A typical workday may involve coding, debugging, reviewing requirements with clients or team members, and collaborating via project management tools or version control systems. Contractors usually need to manage their time efficiently, communicate progress clearly, and deliver solutions that meet specific client needs and deadlines. The work can be remote or on-site, often involving close collaboration with other developers, project managers, or data analysts.

What are popular job titles related to Python Contractor jobs in Dallas, TX? For Python Contractor jobs in Dallas, TX, the most frequently searched job titles are:
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What cities near Dallas, TX are hiring for Python Contractor jobs? Cities near Dallas, TX with the most Python Contractor job openings:
Python Contractor jobs near you
Infographic showing various Python Contractor job openings in Dallas, TX as of August 2026, with employment types broken down into 70% Full Time, 9% Part Time, and 21% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Sr Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Photon

Irving, TX

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

Hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USD 62,000
Maximum Compensation: USD 217,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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