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Usa Python Jobs in Plano, TX (NOW HIRING)

IMCS Group

Full- Stack Developer

Irving, TX

  • Medical

... Python, C#, ruby on rails - Nice to have experience with Jasmine or Mocha - Must have your Bachelor's Degree and Intermediate, Advanced English - Availability to relocate to USA What we offer ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box ... Strong working knowledge of Python. * Applied AI / GenAI: Hands-on experience building or ...

Info Way Solutions

GCP Sr Lead developer

Dallas, TX · On-site

The ideal candidate will possess excellent technical depth in GCP, SQL, and Python, and will be ... Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees.

Mindlance

Senior Full Stack Developer

Plano, TX · On-site

The ideal candidate will have expertise in Python, React, AWS, REST APIs, and CI/CD while ensuring ... USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Further

Cloud Application Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... Python (FastAPI). • Design and optimize PostgreSQL database schemas to ensure performance and ... Founded in 2004, the company is headquartered in Atlanta, USA, with a team of 51-200 employees. The ...

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Usa Python information

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$12

$56

$82

How much do usa python jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for usa python in Plano, TX is $56.11, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $63.75 per hour, depending on experience, location, and employer.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

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

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with specialized skills or certifications can earn higher salaries, especially in tech hubs or with expertise in frameworks like Django or data analysis tools.

Which Usa Python job is in demand?

Python developer roles are highly in demand across various industries, including technology, finance, and data science. Skills in frameworks like Django or Flask, along with experience in data analysis or machine learning, increase employability. These roles often require proficiency in version control and cloud platforms.

What are popular job titles related to Usa Python jobs in Plano, TX?

For Usa Python jobs in Plano, TX, the most frequently searched job titles are:

What job categories do people searching Usa Python jobs in Plano, TX look for?

The top searched job categories for Usa Python jobs in Plano, TX are:

What cities near Plano, TX are hiring for Usa Python jobs?

Cities near Plano, TX with the most Usa Python job openings:

Usa Python jobs near you
Infographic showing various Usa Python job openings in Plano, TX as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $116,700 per year, or $56.1 per hour.

Information Technology_USA - USA_Engineer

SysMind Tech

Richardson, TX • On-site

Contractor

Re-posted 18 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
Bill Rate: market rate - market rate
MSP Owner: Michelle Lee
Location: Richardson, TX ~ Woonsocket, RI
Duration: 6 months
GBaMS ReqID: 10531361
Desired Competencies (Technical & Behavioral)
Must-Have Skills:
Strong experience designing and implementing Generative AI solutions, including LLMs and diffusion models.
Hands-on expertise in model fine-tuning and prompt engineering for domain-specific applications.
Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, Hugging Face Transformers, and OpenAI APIs.
Experience with cloud platforms such as AWS, Azure, and GCP, including deploying AI services at scale.
Solid understanding of MLOps best practices, including CI/CD, model versioning, and automated deployments.
Proficiency in Python programming and scripting for automation.
Knowledge of APIs and microservices architectures for integrating Generative AI into applications.
Strong understanding of data privacy, AI ethics, and regulatory compliance requirements.
Experience with vector databases such as Pinecone, Weaviate, or Qdrant for semantic search applications.
Familiarity with GenAI orchestration frameworks, including LangChain, LlamaIndex, or similar tools.
Experience with custom model training workflows, including distributed training and hyperparameter tuning.
Knowledge of real-time inference systems and low-latency serving strategies.
Experience integrating chatbots, virtual assistants, or content automation solutions into business workflows.
Exposure to knowledge graphs, embeddings, and semantic search techniques.
Strong background in data engineering to manage large-scale datasets for training and fine-tuning.
Contributions to the GenAI community through research papers, blogs, or open-source projects are a plus.
Responsibilities & Expectations:
Define scalable, modular, and secure Generative AI architectures on cloud platforms (AWS, Azure, GCP).
Implement data pipelines for training, fine-tuning, and serving large-scale AI models.
Lead model fine-tuning efforts using custom datasets for domain-specific applications.
Integrate Generative AI models with APIs, user interfaces, and business workflows.
Optimize inference pipelines for performance, latency, and cost efficiency.
Establish model versioning, monitoring, and rollback strategies.
Collaborate with Data Scientists, MLOps Engineers, Product Managers, and business stakeholders to translate use cases into technical solutions.
Provide technical leadership, conduct code reviews, and promote best practices for Generative AI development.

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