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Python Scripting Jobs in Allen, TX (NOW HIRING)

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer Job Location: Irving, TX Job Type: Full-Time Knowledge/experience: 7- 10+ years ... Strong RDBMS and Unix understanding with SQL and BASH shell scripting knowledge. * Experience with ...

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Knowledge on Unix scripting. Must have: * Python. * Machine Learning (SDV). * Apache Spark. * Apache Kafka. * Power Bi, Tableau, QlikView. * PostgreSQL. Manikanth Sarian Solutions, Inc. Ph: 732-790 ...

... scripting and knowledge on BASH, KSH • Troubleshooting experience and determine root cause ... Python, Scala, Node JS, JavaScript and Specialized subject matter expertise in the CI CD tools ...

Oracle DBA

Plano, TX · On-site

$48.50 - $66/hr

Moderate PL/SQL Development, Unix Shell and/or Python Scripting experience * Excellent Communication Skills both Oral and Written * Architects advanced, strategic DBMS solutions, supports development ...

Python Resources-Dallas, TX

Dallas, TX · On-site

$50 - $68.75/hr

Leverage working knowledge of Unix/Linux systems to support Python development and scripting tasks. Technical Qualifications * Programming Skills: Strong experience in Python programming, including ...

Kubernetes Engineer

Plano, TX · On-site

$54.75 - $72.75/hr

Python scripting * Artifactory / JFrog * Version control: Git/GitHub * Certification: CKA (Certified Kubernetes Administrator) Good to Have * Experience with Nutanix / NKP (Nutanix Kubernetes ...

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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 Jul 6, 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 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 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 June 2026, with employment types broken down into 1% Internship, 83% Full Time, 9% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $113,419 per year, or $54.5 per hour.

Director of Business Intelligence & Data

FBS MANAGEMENT LLC

Dallas, TX • On-site

$140K - $160K/yr

Full-time

Posted 16 days ago


Job description

PAY:$140K to $160K

Benefits

Competitive salary and performance-based incentives

Comprehensive medical, dental, and vision coverage

401(k) with company match

Paid time off

Employee dining discounts

Professional development and career growth opportunities

Engaging, innovative, and inclusive workplace culture

Key Responsibilities

Data Strategy & Leadership

Own and evolve FB Society’s enterprise data strategy, transforming data into actionable insights that drive performance across the business.

Develop and maintain a scalable AWS-based analytics ecosystem.

Collaborate with cross-functional leaders in Operations, Finance, Marketing, and Technology to identify KPIs, analytics needs, and data-driven opportunities.

Data Architecture & Engineering Oversight

Serve as the primary architect and operator for the company’s data warehouse environment in AWS.

Manage and enhance data pipelines, transformation logic, and modeling layers using:

Amazon Redshift

Dbt (data build tool)

AWS Lambda

Python scripting

Additional AWS services such as S3, Glue, Step Functions, and CloudWatch

Support and guide one web developer responsible for building and maintaining BI-facing tools and dashboards.

Analytics, Reporting & Insights

Build and maintain enterprise dashboards using Power BI.

Apply advanced analytics to support forecasting, pricing, guest analytics, restaurant performance, and operational efficiency.

Conduct data science tasks such as regression, classification, clustering, or predictive modeling when beneficial to the business.

Oversee and integrate the Oracle Hyperion accounting data subset that sits atop the data warehouse.

Preferred Skills & Experience

AWS & Data Engineering Expertise (Required)

Deep hands-on experience with the AWS analytics stack, including:

Amazon Redshift

Dbt

AWS Lambda

Python scripting

S3, Glue, IAM, Step Functions, CloudWatch, or other relevant services

Strong understanding of data warehousing, modeling methodologies, and ETL/ELT best practices.

BI, Analytics & Tools

Proficiency with Power BI including dataset modeling, DAX, and dashboard development.

Experience integrating Oracle Hyperion data into BI environments.

Past success managing enterprise-scale implementations of POS, CRM, inventory, or related restaurant systems.

Exposure to NLP, sentiment analysis, or applied machine learning is a plus.

Business & Leadership Skills

Strong understanding of restaurant operations, guest analytics, and multi-unit business structures.

Demonstrated ability to operate independently in a lean environment.

Experience mentoring or directing the work of a small technical team.

Join the Crew

If you are a hands-on, AWS-focused data leader passionate about building analytics ecosystems from the ground up and transforming insights into business advantage, we invite you to join FB Society as our Director of Business Intelligence & Data. You will play a pivotal role in shaping the future of restaurant analytics and guest experience innovation.