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Python Data Jobs in Houston, TX (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... Strong proficiency in Python and Java . * Experience designing and implementing Agentic AI systems ...

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... Write efficient Python code on structured time series datasets that scales easily across cloud ...

Python Developer

Houston, TX · On-site

$90 - $120/hr

By leveraging its core competencies, particularly in drilling, engineering, automation, data ... Job Summary Nabors is seeking a Python Developer for the controls and automation team platform team.

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DATA ENGINEER

Texas City, TX · On-site

$98K - $117K/yr

Develop data solutions using SQL and Python * Support healthcare data ingestion and transformation * Assist in maintaining data warehouses and cloud platforms * Perform data quality checks and ...

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies * Experience telling a story through data and building visualizations and dashboards that can be ...

Python Developer III

Houston, TX · On-site

$90 - $140/hr

Design, develop, test, and support Python applications running on the Quartz platform. Required ... Experience with data processing frameworks and large-scale datasets. * Experience supporting ...

Python/AWS Architect

Houston, TX · On-site

$140 - $190/hr

Technology|OpenSystem|Python - OpenSystem Technical Skills 2 Technology|Cloud Platform|AWS Core ... Software & Data Development: Clean code, unit testing, logging, error handling, ETL design, Pandas ...

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Python Data information

See Houston, TX salary details

$12

$55

$82

How much do python data jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for python data in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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

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

What cities near Houston, TX are hiring for Python Data jobs?

Cities near Houston, TX with the most Python Data job openings:

Infographic showing various Python Data job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

AI Engineer with Python

Conflux Systems

Texas City, TX • On-site

Full-time

Posted 13 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.