1

Python Notebook Jupyter Jobs (NOW HIRING)

Strong proficiency in Python; capable of working in both Jupyter notebooks and production-ready scripting environments. * Experience with modern data pipeline tools and operating platforms (Dataiku ...

Python * Jupyter Notebook * (Optional) R script Experience & Qualifications * Passion in modern technology and ability to work in a start-up environment. * Efficient on Jupyter Notebook * Good ...

Showing results 21-40

Python Notebook Jupyter information

See salary details

$13

$58

$86

How much do python notebook jupyter jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python notebook jupyter in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as a Jupyter Notebook Developer, you need strong proficiency in Python programming, data analysis, and a solid understanding of computational notebooks. Familiarity with Jupyter Notebook, data visualization libraries (such as Matplotlib, Seaborn), and tools like pandas and NumPy is typically required. Excellent communication, problem-solving skills, and attention to detail help convey complex ideas and collaborate effectively with team members. These skills enable efficient, reproducible, and collaborative data analysis workflows essential for research and data-driven decision-making.

How does a Python Notebook Jupyter developer typically collaborate with data scientists and other team members on projects?

As a Python Notebook Jupyter developer, collaboration with data scientists, analysts, and other stakeholders is a key aspect of the role. Developers often work in cross-functional teams, using Jupyter Notebooks to create, document, and share code, analyses, and visualizations in an interactive format. Effective communication is essential, as you may need to explain your code, help troubleshoot issues, or integrate feedback from peers. Version control tools like Git are commonly used to manage contributions and ensure smooth collaboration across the team.

What is a Python Notebook Jupyter?

Python Notebook Jupyter, commonly referred to as Jupyter Notebooks, are interactive web-based tools that allow users to write and execute Python code in a segmented, cell-based format. They are widely used for data analysis, machine learning, and visualization, providing an intuitive way to mix code, visualizations, and narrative text. Jupyter Notebooks are popular among researchers, data scientists, and educators for their flexibility and ease of sharing results. Additionally, they support multiple programming languages with the appropriate kernels, though Python is the most commonly used.

What is the difference between Python Notebook Jupyter vs Data Analyst?

AspectPython Notebook JupyterData Analyst
CredentialsBasic programming knowledge, Python skillsDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, consulting firms, finance, marketing
UsageData exploration, visualization, prototypingData cleaning, analysis, reporting

Python Notebook Jupyter is a tool primarily used for coding, data exploration, and visualization, often by data scientists and researchers. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles work with data, Jupyter notebooks are a technical tool used by data analysts as well, but the roles differ in scope and focus.

More about Python Notebook Jupyter jobs
Infographic showing various Python Notebook Jupyter job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Developer - Contract $45-55 Per Hour - NO C2C

Icon Information Consultants

Houston, TX • On-site

$45 - $55/hr

Contractor

Re-posted 25 days ago


Job description

Company Description

A global energy services company. 

Job Description

Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. We are looking for a talented software developer to develop Python packages to streamline our analytics work; enable common, scalable analytical computing environments on demand; and deploy our reports and predictive models into production. This position is part Software Engineer, part DevOps Engineer, and part Data Engineer. If you like variety and starting projects from scratch, this is the job for you! 
Responsibilities: 
Essential Duties/Responsibilities: 

  • D
  • evelop custom Python packages to help our analysts connect to various data sources; provide convenient methods of joining and transforming data in ways common to our workflow 
  • P
  • repare a common analytics environment that analysts can deploy on demand via internal cloud or Amazon Web Services, and access via Jupyter Notebooks 
  • M
  • entoring code development best practices. 
  • A
  • utomate data pipelines 
  • D
  • eploy predictive models and reports into production 
  • M
  • anage Git Repositories 

    Qualifications

    Education: 
    Degree (BS, MS, or PhD) in Computer Science, Electrical and Computer Engineering, Software Engineering, or Information Systems preferred; any STEM BS, MS or PhD with appropriate work experience will be considered. 
    Experience: 

  • 0
  • -5 years of professional Python software design and development 
  • E
  • xperience with Amazon Web Services a plus 
  • E
  • xperience with administering an open source database such as PostgreSQL or MySQL a plus 
  • E
  • xperience with Hadoop/Spark a plus 
  • L
  • inux administration experience a plus 
    Technical Skills: 
  • E
  • xpert-level Python programming 
  • T
  • est-driven development 
  • M
  • onitoring systems and data pipelines 
  • P
  • roficient with the following Python packages: SQLAlchemy, flask, pandas, sphinx, and pytest 
  • L
  • inux server administration 
  • G
  • it 
  • S
  • QL 
  • C
  • ontinuous Integration Deployment (Gitlab-ci, Ansible, Jenkins, or equivalent) 
  • C
  • ontainerized Environments (Docker, LXC) 
    Additional Knowledge, Skills and Abilities: 
  • A
  • bility to design Python software from scratch 
  • D
  • esire to automate everything 
  • G
  • ood communication skills 
  • I
  • ndependent and self-driven worker 
  • C
  • reative problem solver

    Additional Information

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