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Python R Jobs in Texas (NOW HIRING)

Software Technology Inc

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Strong proficiency in Python, R, SQL, C++, PowerShell. * Experience in Business Intelligence, Power BI, Spotfire, * Experience with data modeling and database design * Familiarity with data ...

NTT America

Hybrid Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site +1

$48.25 - $66.50/hr

We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site +1

$48 - $66.25/hr

We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

NTT DATA Services

Hybrid Python Developer

Irving, TX · On-site

$48 - $66.25/hr

We are currently seeking a Hybrid Python Developer to join our team in Irving, Texas (US-TX), ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

kgs

Data Analyst

Dallas, TX

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

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How much do python r jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for python r in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

What is a Python R job?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What jobs can you get with R programming?

Jobs that require R programming include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and SQL.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Python R position, and why are they important?

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

Can I learn R after Python?

Python and R are both popular programming languages for data analysis and statistical computing. Learning Python first can provide a strong foundation in programming concepts, which can make learning R easier later. Many data analyst and data scientist roles require proficiency in both languages, and knowing both can enhance job prospects and flexibility in handling different projects.

Which pays more, C++ or Python?

For Python R developers, salaries generally depend on experience, location, and industry. C++ developers often earn higher salaries due to the language's complexity and demand in systems and embedded programming, but Python roles are increasingly lucrative, especially in data science and automation. Overall, C++ roles tend to pay more on average, but Python skills can lead to competitive compensation in high-demand fields.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for data analysts, developers, and data scientists in 2026, with widespread use in machine learning, automation, and web development. Its versatility, extensive libraries, and strong community support contribute to ongoing job opportunities for Python professionals.
What are the most commonly searched types of Python R jobs in Texas? The most popular types of Python R jobs in Texas are:
What are popular job titles related to Python R jobs in Texas? For Python R jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python R jobs in Texas look for? The top searched job categories for Python R jobs in Texas are:
What cities in Texas are hiring for Python R jobs? Cities in Texas with the most Python R job openings:
Python R jobs near you
Infographic showing various Python R job openings in Texas as of June 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $113,599 per year, or $54.6 per hour.
Data Architect

Data Architect

Software Technology Inc

Houston, TX • On-site

$61 - $78.25/hr

Other

Posted 20 days ago

Job description

Real-time Data Architect

We are seeking a highly experienced Real-time Data Architect to join our team. The ideal candidate will have robust experience in designing and implementing data driven solutions for Oil and Gas clients, with a strong background in system integration, solution architecture, cloud computing, and business analytics. The candidate should have a demonstrated proficiency as well as rich experience in production operation & emissions processes across Upstream segment of the Oil industry. Additionally, the candidate should possess expertise in communicating and collaborating across organizational levels and with cross-functional teams to achieve a common goal.

Key Responsibilities:

  • Design and implement data architectures that support scalable real-time production, field operations, emission, and alarm management in the Oil & Gas industry.
  • Work with IT and business teams to identify, evaluate, recommend, design, and develop integrated solutions that meet those needs.
  • Review and evaluate the exiting real-time systems landscape and identify architecture remediation opportunities for highly scalable platform.
  • Build an interim and target architectures for the platform, implementing industry best practices and latest technologies such as IICS, Kafka, IoT Hub, Ignition etc.
  • Consolidate requirements from various groups (working on emissions) and design a core, scalable and common data architecture/solution. This includes data model that can link to company master and transactional data.
  • Partner closely with product managers and business analysts to align product architecture with business needs.
  • Partner with Data Architecture, emerging technologies and data engineering teams to enable data integration patterns to democratize real-time data for analytics developments (Machine learning, Visualization, Data analysis).
  • Work closely with Enterprise Data Architects to enforce the global standard and best practice.
  • Perform key design decisions review to ensure relevant technical strategies, policies, standards, and practices are applied correctly across products and services.
  • Develop and maintain data models for real-time production operations and emissions data sets.
  • Ensure data integrity and consistency across all data sets.
  • Monitor and optimize data architectures for performance and scalability.

Technical Skills:

  • Strong experience working with SCADA, IoT devices, Data Historians, Big Data environments – Hadoop (Apache, Cloudera), Cloud (Azure, Amazon, GCP) and messaging protocols – MQTT, MODBUS, AMQP, RPC
  • Strong experience in managing data and workflows for Real-time & high frequency systems
  • Strong proficiency in Cloud computing, Microsoft Azure – Databricks, Azure IoT, Kafka and Scada systems.
  • Experience developing solutions in Snowflake and related technologies like IICS, Snowpipe, DBT, or ADF
  • Strong proficiency in Python, R, SQL, C++, PowerShell.
  • Experience in Business Intelligence, Power BI, Spotfire,
  • Experience with data modeling and database design
  • Familiarity with data warehousing and business intelligence concepts
  • Strong problem-solving skills and ability to work in an agile fast-paced environment.
  • Strong communication and collaboration skills

Required Skills: Top must-have technologies/requirements: • Managing data and workflows for real time and high frequency systems • Cloud computing with Azure data services (databricks, IoT, etc) • Scripting – anything from Python, R, SQL, C++, PowerShell.

Apply