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Python Data Jobs in Houston, TX (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Vitol

Python Data Engineer

Houston, TX · On-site

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

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All JobsPython Data JobsPython Data Jobs in Houston, TX

Python Data information

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$12

$55

$82

How much do python data jobs pay per hour?

As of Sep 10, 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 are popular job titles related to Python Data jobs in Houston, TX?

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

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:

Python Data jobs near you
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.

Python Data Engineer

Houston, TX

Vitol
See more jobs at Vitolexternal

Full-time

Re-posted 9 days ago

Job description

Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

This Role is located in Houston, TX - In office 5x a week

Job Description

We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:

  • Write modular, reusable components to liaise between external sources of data, internal tools and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol's Python development community and act as a liaison for our growing business development efforts
Qualifications
  • 7+ years of enterprise-level coding experience with Python
  • Computer Science, MIS or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understating of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week

Additional Information

Work Environment

  • This job operates in a professional office environment.  Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office. 

All your information will be kept confidential according to EEO guidelines.

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