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Python Scripting Jobs in Allen, TX (NOW HIRING)

Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent * Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) including services such as Lambda, S3 ...

This position is ideal for a candidate with strong Python development experience and a background ... Working experience with hardware control scripting (I2C, GVIF, Serial) * Working experience with in ...

Python Developer

Richardson, TX · On-site

$45.75 - $63/hr

Scripting Skills (Preferred) : Python/Shell/perl scripting * Strong knowledge and hands on experience on shell scripting language * Support python application deployed on RHEL environment * Capable ...

Python Developer

Frisco, TX · On-site

$47 - $65/hr

Git Linux scripting, CI/CD, and log analysis * Experience maintaining or integrating open-source ... Python Thanks & Regards Viswanath Dulam Senior Team Lead - Recruitment T: (Direct) E: W: | | I ...

New

Kubernetes Engineer

Plano, TX · On-site

$100K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... python scripting, EKS 9. Required Certifications: Certified Kubernetes Administrator Nice to Have 1. Knowledge of Nutanix environment 2. Strong understanding of how to secure AWS environments and ...

Python Developer

Dallas, TX

$49.75 - $68.50/hr

Linux scripting (Bash, Python). * Experience with Agile development methodology is a plus. * HTML, DOM,HTTP Web Server Apache, NGINX. Qualifications BA/BS or higher in Computer Science or a related ...

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Python Scripting information

See Allen, TX salary details

$12

$54

$80

How much do python scripting jobs pay per hour?

As of Aug 19, 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 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 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 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 are popular job titles related to Python Scripting jobs in Allen, TX?

For Python Scripting jobs in Allen, TX, the most frequently searched job titles are:

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:

Infographic showing various Python Scripting job openings in Allen, TX as of August 2026, with employment types broken down into 72% Full Time, 5% Temporary, and 23% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $113,419 per year, or $54.5 per hour.

Python Developer with Unix Shell Scripting

Tata Consultancy Service Limited

Irving, TX • On-site

$100K - $120K/yr

Full-time

Posted 3 days ago

New


Job description

Python Development / Unix Shell Scripting
• 5-8 years of experience in Python development / Unix Shell Scripting.
• Familiar with Python development frameworks, Pipeline setup and frontend development is a plus.
• Strong experience in Shell Scripting in BASH and KornShell (ksh) is a plus.
• Design, write, and debug shell scripts for task automation, data validation and system performance enhancement.
• Experience in Shell Scripting covering data feed handling, implementing business logic.
• Experience in implementation of logging and monitoring in scripts for performance tracking and issue diagnostics.
• Optimize scripts for enhanced performance, scalability, and reliability.
• Knowledge in version control systems (e.g, Git).
• Collaborate with cross-functional teams on projects to achieve shared objectives.
• Ensure compliance with company and industry security and data protection standards in all scripting activities.
• Candidate should be familiar with Kubernetes/Docker solutions.
Salary Range- $100,000-$120,000 a year