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Python Scripting Jobs in Texas (NOW HIRING)

Rapport IT

Python Developer - Only Locals

Plano, TX · On-site

$48.25 - $66.50/hr

Bachelor s degree in Computer Science, Engineering, Electronics, or a related field, or Equivalent practical experience. * 5+ years of experience in Python scripting * Working experience with Agile ...

MM International

AI/ML Engineer

Dallas, TX · On-site

... python scripting Core requirements: • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake) • Knowledge of automation frameworks such as ...

Ruri Software Technologies LLC

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 ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Python scripting and programming using Pandas, PyParsing, Airflow. o Pandas, Tableau server modules, NumPy, Datetime, Apache Airflow related modules, APIs o Setting up Python scripts on DataLab ...

Sarian, Inc.

Unix with Python

Dallas, TX · On-site

$46.50 - $64/hr

Role: Unix with python Must Have Technical/Functional Skills Unix, Shell Scripting, Python, Production Support Roles & Responsibilities • System Configuration: Configuring Unix systems to meet ...

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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 Jul 10, 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 jobs can I do with just Python?

Python scripting skills can qualify you for roles such as Python developer, automation engineer, data analyst, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks such as Django and Flask, and may involve tasks like automating processes, data analysis, or web development.

What can I do with Python scripting?

Python scripting is used in many roles for automating tasks, data analysis, web development, and software testing. It allows developers to write efficient, readable code and work with various libraries and frameworks. Python skills are valuable for roles requiring problem-solving and automation across different industries.

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 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 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 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 jobs can I get with Python coding?

Python scripting skills can qualify you for roles such as Python developer, data analyst, automation engineer, machine learning engineer, and backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with data analysis libraries such as Pandas and NumPy.

Are Python coders in demand?

Python scripting is highly in demand across industries such as technology, finance, and data analysis due to its versatility and ease of use. Employers seek Python developers with skills in automation, data manipulation, and frameworks like Django or Flask, often requiring knowledge of version control and debugging tools. The role typically offers competitive salaries and opportunities for remote work and career growth.
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 July 2026, with employment types broken down into 14% Internship, 45% Full Time, and 41% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,599 per year, or $54.6 per hour.

Snowflake/ Python Developer

Futran Tech Solutions Pvt. Ltd.

Austin, TX • On-site

$49.75 - $68.75/hr

Full-time

Posted 27 days ago

Job description

Snowflake/ Teradata Developer
Day 1 onsite to Austin, TX, or Sunnyvale, CA
OPT will work just for this one
C2H, C2C
( no 3rd party profiles)
The panel is available Monday- Thursday 9-1 PM PST please submit profiles with candidates 2-3 availability
No. of opening 9
JC - 1923558
Please look for two skills
Snowflake with Python
Please share candidates' availability for a full week, multiple slots per day between 10 AM-3 PM PST for 30 mins
Updated JD:-
Job Description:
  • Strong Data warehousing experience with processing large data volumes.
  • Hands on Design/Development of the Teradata platform is a must - Data modeling, Designing Tables, PIs, Partitions
  • Strong SQL knowledge and working experience in Teradata Stored Procedures/BTEQ scripts.
  • Proficiency in TD load and export utilities like TPT, TPT/MLOAD/TPUMP/BTEQ/FAST EXPORT, Multi load, Schedulers etc.
  • Experience in Performance Tuning - query tuning and insights on Impact CPU, Skewness etc.
  • Data Pipeline understanding
  • Python Scripting knowledge
  • Understanding of Cloud Data warehousing - particularly Snowflake

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