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Python Scripting Jobs in Texas (NOW HIRING)

Kaizen Soft Solutions, LLC

Python Developer

Texas City, TX · On-site

$43 - $59.25/hr

Experience with automation tools such as Power Automate or Python scripting. * Strong understanding of application security, performance, and banking domain best practices. Preferred Skills

Info Way Solutions

DevOps engineer with Python

Austin, TX · On-site

$52.25 - $71.50/hr

Required : • Strong programming skills in Python (scripting, automation, APIs) • Solid understanding of DevOps principles and practices • Experience with CI/CD tools (Jenkins, GitHub Actions ...

MM International

AI/ML Engineer

Dallas, TX · On-site

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 ...

Jobtailor

Azure Integration Developer

San Antonio, TX · On-site

$90 - $140/hr

Experience with Python scripting for automation and data processing * Experience in SQL * Understanding of REST APIs, webhooks, and third-party API integration * Experience with data integration ...

New

Prolim Global

Python Automation Developer

Plano, TX · On-site

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 ...

Intellisoft Technologies

NO SQL DBA

Manor, TX · On-site

$54 - $67.50/hr

The role is modernization-driven, and the manager repeatedly emphasized automation, OLAM, Python scripting, and SDD/spec-driven development. * OLAM can be replaced with Linux VM or Linux Virtual ...

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Python Scripting information

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$12

$54

$80

How much do python scripting jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python scripting in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 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 Texas?

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

What job categories do people searching Python Scripting jobs in Texas look for?

The top searched job categories for Python Scripting jobs in Texas are:

What cities in Texas are hiring for Python Scripting jobs?

Cities in Texas with the most Python Scripting job openings:

Python Scripting jobs near you
Infographic showing various Python Scripting job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 5% Temporary, and 22% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $113,599 per year, or $54.6 per hour.

Python Developer

Kaizen Soft Solutions, LLC

Texas City, TX • On-site

$43 - $59.25/hr

Other

Re-posted 6 days ago

Job description

EXPERIENCE – 12+ YEARS HANDS ON LEAD


Role: Senior Python Developer
Location:Dallas, TX, Jerseycity,NJ, Mountainview,CA
Job description:

Required Skills

  • 12 years of software development experience.
  • Strong SQL and relational database expertise (PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficiency in Python (or R), Java, or Scala.
  • Experience with React/Angular and REST API development.
  • Hands-on experience with AWS, Azure, or Google Cloud Platform (Lambda, S3, Azure Functions, BigQuery, etc.).
  • Experience with automation tools such as Power Automate or Python scripting.
  • Strong understanding of application security, performance, and banking domain best practices.

Preferred Skills

  • Experience with Snowflake and cloud data platforms.
  • Knowledge of Informatica or other data governance/data management tools.
  • Experience building scalable API integrations across enterprise systems.

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