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Python Jobs in Pearland, TX (NOW HIRING)

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure. * Own features end-to-end-from scoping and design through implementation, deployment ...

eTeam

Senior Python AWS Developer

Houston, TX · On-site

$116K - $156K/yr

Job Summary : eTeam is seeking a Senior Python AWS Developer to collaborate with business and other teams to understand requirements and deliver project outcomes. This role involves participating in ...

Infosys Limited

Python/AWS Architect

Houston, TX · On-site

$150 - $200/hr

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Cloud Platform|AWS Core services Technical Skills 3 Technical Skills 4 Technology|AI Engineering|AI/ML Solution Architecture ...

Infosys LTD

Python AWS Developer

Houston, TX · On-site

$48 - $66.25/hr

Required Skill and Experience • Experience in Python 3.x and Python frameworks. • Experience with key AWS services like Compute: Lambda, ECS, Storage: S3. Preferred Skill and Experience • ...

Infosys

Python/AWS Architect

Houston, TX · On-site

Required Skill and Experience • Experience in Python based architecture and lead the delivery of scalable, resilient, and cloud-native solutions aligned with business and technology objectives • ...

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How much do python jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python in Pearland, TX is $52.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.38 per hour, depending on experience, location, and employer.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can 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 solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

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, knowledge of software development principles, and typically 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 highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

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

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.
More about Python jobs

What are the most commonly searched types of Python jobs in Pearland, TX?

The most popular types of Python jobs in Pearland, TX are:

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

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

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

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

What cities near Pearland, TX are hiring for Python jobs?

Cities near Pearland, TX with the most Python job openings:

Python jobs near you
Infographic showing various Python job openings in Pearland, TX as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $108,716 per year, or $52.3 per hour.

AI Engineer with Python

Texas City, TX • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

Full-time

Re-posted 2 days ago

Job description

Job Title: AI Engineer
Locations: Plano, TX | Columbus, OH | Wilmington, DE
Job Summary
We are seeking an experienced AI Engineer to design, develop, and deploy AI-powered applications using modern machine learning and generative AI technologies. The ideal candidate has strong programming skills in Python and Java, along with hands-on experience building Agentic AI solutions using LLMs, orchestration frameworks, and cloud-native architectures.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 5+ years of software engineering experience with a focus on AI/ML applications.
  • Strong proficiency in Python and Java.
  • Experience designing and implementing Agentic AI systems using Large Language Models (LLMs).
  • Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, AutoGen, CrewAI, or similar.
  • Experience integrating AI applications with REST APIs, databases, and enterprise systems.
  • Strong understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI workflows.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with containerization and orchestration technologies including Docker and Kubernetes.
  • Experience with Git, CI/CD pipelines, and Agile development methodologies.
  • Strong analytical, debugging, and problem-solving skills.
Preferred Qualifications
  • Experience working with OpenAI, Anthropic, Google Gemini, or open-source LLMs.
  • Knowledge of AI observability, evaluation, guardrails, and model monitoring.
  • Experience with vector databases such as Pinecone, Chroma, FAISS, or Milvus.
  • Familiarity with MLOps practices and model deployment pipelines.
  • Experience building conversational AI, AI assistants, or autonomous agents.
Key Responsibilities
  • Design and develop scalable AI applications using Python and Java.
  • Build and deploy Agentic AI solutions capable of planning, reasoning, and executing multi-step workflows.
  • Develop LLM-powered applications using prompt engineering, RAG, and vector search techniques.
  • Integrate AI services with enterprise applications, APIs, and data platforms.
  • Optimize AI model performance, latency, and cost.
  • Collaborate with product managers, data scientists, architects, and software engineers to deliver AI-driven solutions.
  • Implement testing, monitoring, security, and governance for AI applications.
  • Stay current with advancements in Generative AI, Agentic AI, and emerging AI technologies.

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