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Remote Jupyter Notebook Jobs (NOW HIRING)

Ruri Software Technologies LLC

GCP DevOps Engineer

$54 - $74/hr

Remote 12+ Months Project Client : VZ * Experience in building pipelines, I/CD Continuous ... Extensively worked with Dataproc, GCS, Dataflow, GKE, Bigquery, Jupyterlab, Jupyter notebook ...

Inficare Technologies

Python Engineer

Jupyter Notebook Location & Work Model Fully remote - candidates must be based in Canada or Mexico. Shift hours are 1:00 PM to 9:00 PM PST. Engagement Details Contract engagement. Duration to be ...

SOSi

Technical Instructor

Doral, FL · Remote

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

SOSi

Technical Instructor

Doral, FL · Remote

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

Mercor

Data Science Expert - AI/ML

San Francisco, CA · Remote

$60 - $90/hr

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... Author clear, reproducible reference analyses in Jupyter Notebooks or Google Colab . * Build tasks ...

New

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Experience with Jupyter Notebook, Pandas, NumPy, or Git * Experience selecting, training ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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How much do remote jupyter notebook jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for remote 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 the difference between Remote Jupyter Notebook vs Data Analyst?

AspectRemote Jupyter NotebookData Analyst
Required credentialsKnowledge of Python, data visualization, and basic data analysisBachelor's in statistics, mathematics, or related field; often some programming knowledge
Work environmentPrimarily online, flexible location, often independentOffice or remote, collaborative teams, client-facing or internal projects
Industry usageUsed for data analysis, machine learning, and research tasksUsed for interpreting data, creating reports, and supporting decision-making

Remote Jupyter Notebook professionals focus on coding, data manipulation, and analysis using Python in a flexible environment. Data Analysts interpret data, create reports, and support business decisions, often with similar technical skills but a broader focus on communication and reporting. Both roles may overlap in skills but differ in scope and daily tasks.

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

To thrive as a Remote Jupyter Notebook Developer, you need strong programming skills in Python, experience with data analysis, and a solid understanding of computational notebooks and version control, often supported by a degree in computer science or a related field. Familiarity with JupyterLab, Git, virtual environments, and data visualization libraries like pandas, matplotlib, or seaborn is typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver results independently in a remote environment. These skills are essential for producing high-quality, reproducible code, effectively sharing insights, and maintaining productivity without in-person supervision.

What is a remote Jupyter Notebook?

A Remote Jupyter Notebook is an interactive computing environment that runs on a server rather than your local computer, allowing users to create and share documents containing live code, equations, visualizations, and narrative text from anywhere with internet access. This setup is especially useful for collaboration, leveraging greater computing resources, or working securely with sensitive data. Users connect to the remote server via a web browser, making it possible to utilize powerful cloud-based or institutional hardware without needing to install complex software locally.

What are some common challenges faced by professionals working with remote Jupyter Notebook environments, and how can they be addressed?

Professionals working with Remote Jupyter Notebooks often encounter challenges such as managing dependencies across remote servers, ensuring the security of sensitive data, and maintaining stable network connections. Addressing these issues typically involves using containerization tools like Docker to standardize environments, implementing strong authentication and encryption protocols, and leveraging cloud-based platforms that provide reliable access and backups. Collaborating with IT and DevOps teams can also help streamline setup and troubleshooting, making remote work more efficient and secure.
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Remote Jupyter Notebook jobs near you
Infographic showing various Remote Jupyter Notebook job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 6% Part Time, 1% Temporary, and 8% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $83,671 per year, or $40.2 per hour.

Remote Senior Data Analyst

Easy Recruiter

New York, NY • Remote

$94K - $118K/yr

Full-time

Posted 28 days ago

Job description

We are looking for an Accounting Data Analyst to drive insights, generate actionable reports, and streamline our operations and trading data needs for the firm. Remote candidates will be considered.

Responsibilities:

-Querying, transforming and extracting data from our systems in support of various business functions including audit, finance and trading

-Identify and implement ways to automate reporting

-Build scripts to automate the creation of business reports

-Become fluent in our systems

-Data clean up and ensuring accuracy in data

-Write systems and process documentation (building entity relationship diagrams)

Required Qualifications:

-Bachelors degree in a quantitative field

-2+ years experience of financial data, reporting and accounting

-First-hand experience or understanding of accounting front-to-back workflows

-Proficient in Python (Pandas, Numpy, etc.)

-Knowledge of financial data, reporting and accounting

-Comfort working with time-series data

-Proficient in Excel

-Eager and willing to learn in a fast-paced environment

-Detailed-oriented with the ability to prioritize

-Strong written and verbal communication

-Ability to roll up their sleeves and do anything and everything to get the job done

-Someone who can work autonomously while also in partnership with cross domain teams

Preferred Qualifications:

-Familiarity with Python Django

-Familiarity with Jupyter Notebook

-Experience with industry-specific technologies to improve the efficiency of data collection

Apply