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Programmer Python Salary Jobs in Texas (NOW HIRING)

infosys

Specialist Programmer

Arizona, LA

Python, Agentic AI, LangChain, LangGraph, NLP, MCP, Prompt/Context Engineering etc * Also ... Competitive salary, benefits package, trainings and courses * Work on Large Scale Digital platforms ...

Fairygodboss

Lead Security Engineer - Python

Plano, TX · On-site

$150 - $210/hr

As a Lead Security Engineer at JPMorganChase within the CTC, you are an integral part of team that ... We offer a competitive total rewards package including base salary determined based on the role ...

Socket.dev

Lead Security Engineer - Python

Plano, TX · On-site

$140 - $210/hr

As a Lead Security Engineer at JPMorganChase within the CTC, you are an integral part of team that ... We offer a competitive total rewards package including base salary determined based on the role ...

Infosys Limited

Python AWS AI Developer

Austin, TX · On-site

$90 - $140/hr

... Python - OpenSystem Technical Skills 2 Technical Skills 3 Technology|AI Engineering|AI/ML Solution ... salary level About Us Infosys is a global leader in next‑generation digital services and ...

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Programmer Python Salary information

What are the key skills and qualifications needed to thrive as a Python programmer?

To thrive as a Python Programmer, you need strong coding skills in Python, a solid understanding of algorithms, data structures, and typically a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems like Git, and experience with databases are commonly required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are crucial for delivering robust software solutions, collaborating with teams, and keeping up with evolving technology.

What are some common challenges Python programmers face when working on large-scale projects?

Python programmers working on large-scale projects often encounter challenges such as managing code complexity, ensuring code performance, and maintaining consistent coding standards across the team. Collaboration with other developers, effective use of version control systems, and writing modular, well-documented code are essential to address these challenges. Additionally, integrating Python code with other technologies and legacy systems can require strong problem-solving skills and adaptability.

What is the average salary for a Python programmer?

The average salary for a Python programmer varies depending on experience, location, and industry. In the United States, entry-level Python programmers typically earn between $65,000 and $85,000 per year, while experienced developers can make upwards of $120,000 annually or more. Factors like certifications, advanced skills, and working in high-demand sectors such as finance or tech can increase earning potential. Salaries may also differ internationally, with local job markets influencing pay rates.

What is the difference between Programmer Python Salary vs Data Analyst Salary?

AspectProgrammer Python SalaryData Analyst Salary
Required CredentialsProficiency in Python, programming skills, sometimes certifications in Python or related technologiesStatistical knowledge, data analysis skills, often a degree in statistics, data science, or related fields
Work EnvironmentSoftware development teams, tech companies, startupsBusiness environments, research firms, finance, healthcare
Industry UsageSoftware development, automation, backend servicesData interpretation, reporting, business insights

While Programmer Python roles focus on coding and software development using Python, Data Analysts primarily interpret data and generate reports. Salaries vary based on experience, location, and industry, but both roles require strong analytical skills and technical knowledge. Understanding these differences helps job seekers target the right roles and salary expectations.

Are Python programmers still in demand?

Python programmers are currently in high demand across various industries due to the language's versatility in web development, data analysis, machine learning, and automation. The demand is expected to remain strong as organizations increasingly adopt Python for their technical needs, and proficiency with frameworks like Django or data libraries such as Pandas can enhance job prospects.

Is programming in Python a high paying job?

Programming in Python is generally considered a well-paying job, especially for experienced developers with skills in frameworks, data analysis, or machine learning. Salaries vary based on location, experience, and industry, but Python developers often earn above average wages compared to other programming roles.

What are popular job titles related to Programmer Python Salary jobs in Texas?

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

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

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

What cities in Texas are hiring for Programmer Python Salary jobs?

Cities in Texas with the most Programmer Python Salary job openings:

Programmer Python Salary jobs near you

Senior AI Python Solutions Engineer

Select Minds LLC

Dallas, TX • On-site

$160K - $180K/yr

Full-time

Posted 25 days ago

Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Senior AI / Python Solutions Engineer
Location: Dallas, TX (Hybrid)
Duration: 12+ Months (Long-Term)
Experience: 8+ Years
Interview: Virtual + In-Person
Work Authorization: Authorized to work in the U.S.
We are seeking a highly skilled Senior AI / Python Solutions Engineer to build scalable, production-grade AI applications using modern Python technologies, Large Language Models (LLMs), Agentic AI frameworks, and cloud-native architectures. The ideal candidate should have strong experience designing AI solutions, developing intelligent agents, integrating enterprise APIs, and deploying conversational AI applications in production environments.
Primary Responsibilities
* Design, develop, and deploy enterprise AI applications using Python.
* Build scalable AI services leveraging Machine Learning, Generative AI, and LLMs.
* Develop intelligent multi-agent and Agent-to-Agent (A2A) communication solutions.
* Design Retrieval-Augmented Generation (RAG) applications using vector databases.
* Build AI-powered chatbots, virtual assistants, and conversational AI platforms.
* Develop dynamic form-based applications for intelligent user interactions.
* Design and consume RESTful APIs and SOAP web services.
* Integrate enterprise systems, databases, and third-party services.
* Design scalable backend services and microservices architecture.
* Optimize application performance using Redis caching.
* Collaborate with Data Scientists, Product Managers, and Engineering teams.
* Ensure solutions are secure, scalable, maintainable, and production ready.
Required Qualifications
* 8+ years of software development experience.
* 5+ years of hands-on Python development.
* 3+ years of AI / Machine Learning development.
* Strong experience building production-grade AI applications.
* Experience designing distributed AI systems and microservices.
* Experience integrating enterprise APIs and third-party platforms.
* Hands-on experience with vector databases and semantic search.
* Strong understanding of cloud-native application development.
* Experience deploying scalable backend services.
Preferred Qualifications
* Experience with Agentic AI architectures.
* Experience with MCP (Model Context Protocol).
* Experience with Hugging Face Transformers.
* Experience with Kafka or RabbitMQ.
* Experience with enterprise AI platforms and LLM integrations.
* Knowledge of AI security, observability, and performance optimization.
Required Soft Skills
* Excellent problem-solving and analytical skills.
* Strong communication and stakeholder management.
* Ability to work in Agile development environments.
* Experience collaborating with cross-functional teams.
* Self-driven with the ability to lead technical initiatives.

Flexible work from home options available.