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Python Scripting Jobs in Allen, TX (NOW HIRING)

Use Unix shell scripting (e.g., Bash) for simple file management, job scheduling, and script ... Proficient in Python 3 programming. * Experience with common Python automation packages: * Email ...

Automation Developer III - Python

Dallas, TX · On-site +1

$110K - $130K/yr

Use Unix shell scripting (e.g., Bash) for simple file management, job scheduling, and script ... Proficient in Python 3 programming. * Experience with common Python automation packages: * Email ...

Essential skills: • Strong C/C++ language skills. • Should have hands on experience in Shell / Perl/ python scripting. • Familiar with OS lifecycle management, RPMs, Nessus scan/ Vulnerability ...

Automation Tester

Irving, TX · On-site

$44.25 - $58.25/hr

Irving, TX Duration: 6 - 12 month (may extend) Summary: 5 plus years of experience in a Quality Assurance. 3+ years of experience in Python scripting languages. Knowledge of Video Automation tools ...

Senior Network Engineer

Dallas, TX · On-site

$102.90K - $141K/yr

Knowledge in Python scripting, API's , Ansible and network automation. TECHNICAL SKILLS AND REQUIREMENT * Experience in Datacenter Routing, Switching and Application Load balancing. * Cisco Nexus 7K ...

Python Engineer

Irving, TX · On-site

$44 - $54/hr

Strong development experience with Python for automation, scripting, and platform tooling * Experience with API integration testing and automated testing tools, including functional, regression, and ...

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Python Scripting information

See Allen, TX salary details

$12

$54

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How much do python scripting jobs pay per hour?

As of May 30, 2026, the average hourly pay for python scripting in Allen, TX is $54.53, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $61.92 per hour, depending on experience, location, and employer.

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

To thrive as a Python Scripting professional, you need strong programming skills in Python, a solid understanding of algorithms, and experience with automation or data processing tasks, often supported by a relevant degree or coursework. Proficiency with development tools such as Git, integrated development environments (IDEs) like PyCharm or VS Code, and familiarity with libraries such as Pandas, NumPy, or requests is common. Analytical thinking, problem-solving, and effective communication are essential soft skills that help you identify opportunities for automation and collaborate with stakeholders. These capabilities enable efficient, reliable script development that drives productivity and supports business objectives.

What are some common challenges faced by professionals in Python scripting roles, and how can they be addressed?

Professionals in Python scripting roles often encounter challenges such as debugging complex code, managing dependencies across different environments, and optimizing script performance. Collaborating closely with team members through code reviews and using version control systems can help minimize errors and streamline workflows. Staying updated with the latest Python libraries and best practices, as well as leveraging automated testing tools, can significantly improve code reliability and efficiency. Regular communication with stakeholders is also key to ensuring the scripts meet project requirements and integrate smoothly with other systems.

What is Python scripting?

Python scripting refers to writing small programs or scripts using the Python programming language to automate tasks, process data, or perform repetitive operations. Scripts are typically used to accomplish specific functions such as file manipulation, data analysis, or web scraping without the need for compiling code. Python's simple syntax and vast libraries make it ideal for scripting in various domains, including system administration, data science, and web development. Scripting with Python can save time, reduce errors, and increase productivity.

What is the difference between Python Scripting vs Data Analyst?

AspectPython ScriptingData Analyst
Required CredentialsBasic programming knowledge, often no formal degree requiredBachelor's degree in statistics, mathematics, or related field
Work EnvironmentProgramming environments, software development teamsData analysis teams, business environments
Industry UsageAutomation, data processing, software developmentData interpretation, reporting, decision support
Common Search/ComparisonYesYes

Python Scripting involves writing code to automate tasks and process data, often used by developers and data engineers. Data Analysts focus on interpreting data, creating reports, and providing insights. While both roles work with data, Python Scripting is more technical and coding-centric, whereas Data Analysts emphasize analysis and visualization skills.

What job categories do people searching Python Scripting jobs in Allen, TX look for? The top searched job categories for Python Scripting jobs in Allen, TX are:

Senior Python Developer - Code Migration Specialist

Mindrift

Dallas, TX • Remote

$80/hr

Part-time

Posted 20 days ago


Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

About the Role

This project is suited for a Senior Python developer with deep functional testing experience, strong Linux and Docker skills, the ability to read code across multiple languages with the support of LLMs (e.g., C, Rust, Go) and translate requirements for migration tasks, and confidence using tools like Roo Code or Claude Code to accelerate iterative development.

Key Responsibilities

  • Create functional black box tests for large codebases in various source languages
  • Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms
  • Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards
  • Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality

Requirements

  • 5+ years of experience as a Software Engineer (primarily Python)
  • Deep experience with pytest (fixtures, session-scoped, timeouts) and designing black-box functional tests for CLI tools
  • Expert-level Docker skills (reproducible Dockerfiles, user contexts, secure workspaces)
  • Strong Linux & Bash scripting skills and comfort debugging inside containers
  • Proficiency with modern Python tooling (uv, pyproject.toml, packaging)
  • Ability to read and understand with LLM many coding languages (for example C, C++, Rust, or Go) 
  • Experience using LLMs (Claude Code, Roo Code, Cursor) to accelerate iterative development and test-case generation
  • English language - B2 or higher

Requirements +

  • Prior experience with agent evaluation platforms and MCP CLI

Tools and Technologies: Python (pytest, uv, Pillow), Docker, Bash, Git Submodules, C/C++/Rust/Go (reading), Dagger, GitHub Codespaces, LLMs (Claude Code, Roo Code, Cursor), coverage.py, gcov, kcov.

Benefits

What we can offer

  • Freelance project-based collaboration via the Mindrift platform (powered by Toloka AI)
  • Fully remote and flexible participation - choose when and how much to contribute (20-30 hours per week)
  • Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $80 per hour equivalent.
  • Opportunity to contribute to innovative AI projects for leading tech companies
  • Supportive global community