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Jupyter Notebook Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

AWS, Git, Jupyter Notebook, or cloud analytics exposure. Tools / Technologies Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

AWS, Git, Jupyter Notebook, or cloud analytics exposure. Tools / Technologies Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse ...

Syntricate Technologies

Unix Engineer

Tampa, FL · On-site

Qualifications : Required : • Intermediate level role responsible for assisting Blue data management • Supporting Dataiku • Supporting Driverless AI • Supporting Jupyter Notebook • ...

JPMorgan Chase & Co.

$43K - $43K/yr

Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required. * Proficient in Python with hands-on experience in Machine learning and Deep learning ...

Dynamis, Inc.

Data Scientist

Washington, DC

$90K - $130K/yr

Perform exploratory data analysis, feature engineering, and model validation using Python, Jupyter Notebook, PySpark, Pandas, and R * Use SQL for complex querying and analyze large-scale structured ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries * Create data visualizations and dashboards using spreadsheets and other tools * Collaborate with ...

Omniscius

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Perform exploratory data analysis, feature engineering, and model validation using Python, Jupyter Notebook, PySpark, Pandas, and R * Use SQL for complex querying and analyze large-scale structured ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

Dynamis, Inc.

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Perform exploratory data analysis, feature engineering, and model validation using Python, Jupyter Notebook, PySpark, Pandas, and R * Use SQL for complex querying and analyze large-scale structured ...

Omniscius

Data Scientist

Washington, DC · On-site

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

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How much do jupyter notebook jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for jupyter notebook in the United States is $40.23, according to ZipRecruiter salary data. Most workers in this role earn between $31.73 and $46.39 per hour, depending on experience, location, and employer.

What is a jupyter notebook?

A Jupyter Notebook job typically involves using Jupyter Notebooks to develop, test, and document code, often in data science, machine learning, or research roles. Professionals in these roles use Jupyter to analyze data, visualize results, and share insights through interactive documents. Common responsibilities may include writing Python code, integrating with libraries like Pandas or TensorFlow, and collaborating on projects. These jobs are common in academia, technology, and data-driven industries.

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

Jupyter Notebook is not a professional job title; rather, it is a widely-used open-source web application for interactive computing, data analysis, and visualization. Expertise in programming languages like Python, familiarity with data science tools, and experience using Jupyter Notebooks are typically required for roles utilizing this technology. Strong analytical thinking, clear communication, and collaboration skills are important for working with diverse teams and presenting data-driven insights. These skills enable professionals to efficiently use Jupyter Notebook as a platform for sharing reproducible research and collaborating on data projects.

How is jupyter notebook used in daily workflows for data science and analytics teams?

Jupyter Notebook is frequently used by data science and analytics professionals to organize explorative code, visualize data, and document processes within a single, shareable environment. On a typical day, team members might use Jupyter Notebooks to prototype machine learning models, perform data cleaning and transformation, and generate interactive reports. These notebooks support collaborative work by allowing team members to review, modify, and comment on each other's analyses in real time. Leveraging Jupyter Notebooks in this way helps streamline teamwork and improve transparency throughout the data analysis lifecycle.

More about Jupyter Notebook jobs

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Jupyter Notebook jobs near you
Infographic showing various Jupyter Notebook job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, 8% Part Time, 8% Temporary, and 17% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $83,671 per year, or $40.2 per hour.

Staff Software Engineer, Workflow Platform

Palo Alto, CA • On-site, Remote

Pinterest
Internet and IT • 1 - 5K employees
Learn more about Pinterestexternal

Full-time

Posted 3 days ago

New

Job description

Pinterest app provides value to users by providing them inspiring items (pins), either by searching or by browsing. Pinterest is able to provide inspiring / relevant items to users by analyzing huge amounts of data, producing critical data assets, ML data, ML model training to power the business.

The Workflow platform team is in the center of making this happen by being the main control plane of the Data eco-system. There are three main products team own: 1. Workflow platform (Opensource: Airflow): Empower engineers, data scientists, ML engineers, analysts, etc to build pipelines, build ML features, train ML models, etc to build core dataset, to build business critical metrics, to power relevance of Pinterest apps feed & search. It is a critical platform not only in Data engineering but also to Pinterest overall. 2. Data catalogue/governance/context platform. (Opensource: Datahub) Provide data governance, data discovery and recently being the center of data context platform powering AI agents. 3. Jupyter notebook infrastructure: Power data scientists & engineers to interactively analyze data and schedule business critical reports used by thousands of users.

What you'll do:

  • Design, implement, optimize, and operate Pinterest's data control plane - Workflow platform, Data context platform.
  • Collaborate with stakeholders and partner teams across the organization to design technologies that unlock innovations.
  • Lead complex technical projects and initiatives driving them from architecture through execution.
  • Lead the team to strengthen reliability and performance.
  • Shape the long-term technical direction for scalable, reliable, and modernized data control planes.
  • Lead the team's product direction to be AI native.
  • Engage with and contribute to open source communities such as Apache Airflow, Datahub, and Jupyter notebook to solve Pinterest's challenges.

What we're looking for:

  • 10+ years of relevant industry experience designing, building, operating large-scale production distributed systems.
  • Strong experience designing and maintaining infrastructure platforms.
  • Proficiency in programming languages like Python or Java.
  • Proven ability to lead complex technical initiatives and influence architecture across teams.
  • Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
  • Bachelor's degree in a relevant field such as Computer Science, or equivalent experience.


Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.


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