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Remote Jupyter Notebook Jobs (NOW HIRING)

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 ...

Remote (some travel required for Atlanta GA) Duration : 6 to 12 Months What you'll do: โ€ข You will ... JupyterHub, JupyterLab, Jupyter Notebook โ€ข ServiceNow Regards Alex Keylor NAVTECH INC 1600 Golf ...

... remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping). * Proficiency with geospatial tools such as: * ArcGIS Pro * Google Earth Engine * Jupyter Notebooks ...

... remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping). * Proficiency with geospatial tools such as: * ArcGIS Pro * Google Earth Engine * Jupyter Notebooks ...

... Jupyter notebooks #LI-remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a ...

Senior Data Analyst

$115K - $135K/yr

... Jupyter notebook, Tableau, Google DataStudio, PowerBI, etc.) * Demonstrated experience with AI ... Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas' Deep Ellum, for ...

Sales Engineer

MD ยท Remote

Remote, U.S. must live near a target federal customer hub: Washington, DC metro (NGA, NRO, Pentagon ... Comfortable with Python and at least one frontend or notebook stack (Streamlit, Next.js, Jupyter ...

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Remote Jupyter Notebook information

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How much do remote jupyter notebook jobs pay per hour?

As of Jun 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, and why are they important?

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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Technical Instructor

SOSi

Doral, FL โ€ข Remote

Full-time

Posted 3 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

**This position is contingent upon contract award**

SOSi is seeking a Technical Instructor to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • Responsible for developing and delivering advanced instruction to an expanded title authority program training audience such as title 10/50 Military Intelligence Program (MIP) and in areas such as:
    • ESRI Software and Geospatial Data Analysis
    • API-based data integration and request workflows
    • Jupyter Notebook-based data engineering and geospatial data layer creation
    • Metadata tagging, data stewardship, and catalog integration
    • OSINT analysis techniques and structured reporting workflows
  • Coordinates closely with the Training Coordinator to align technical content with approved training events and mission objectives.
  • Develop and maintain a training data tracking and reporting capability, under the direction of the Government, to support program performance visibility and strategic planning.
  • Provide dashboard inputs summarizing this data for Government approval on a bi-weekly basis (aligned with sprint reporting) and shall update the dashboard within 5 business days following the conclusion of each training event.
  • Document the planning, delivery, and evaluation of each training program purchased, including travel coordination, curriculum verification, and on-site logistics. A post-execution summary report shall be submitted within 10 business days of event completion.
  • Coordinate country clearances, travel arrangements, and liaison activities with sponsoring Commands, U.S. embassies, and partner nation representatives.
  • Facilitate graduation ceremonies, ensuring proper documentation of participant completion and skill mastery.
  • Implement post-training assessments and evaluations, gathering participant feedback and performance metrics to refine future training iterations.
  • Provide a comprehensive training impact report, detailing the effectiveness of knowledge transfer, skill adoption rates, and recommendations for program enhancement.
  • Administer post-training language satisfaction surveys to partner nation trainees, collecting quantitative and qualitative feedback on language accessibility, translation accuracy, and instructor communication.
  • Compile and analyze feedback data quarterly, identifying trends, deficiencies, and areas for improvement in multilingual training delivery.
  • Provide an annual report summarizing language feedback insights, corrective actions taken, and recommendations for improving multilingual training effectiveness.
  • Host remote training materials, provide access to self-paced learning modules, and facilitate sessions.
  • Track participant engagement in remote training materials.
  • Provide a quarterly report on remote training participation, knowledge retention rates, and areas requiring further improvement.
Qualifications

Minimum Requirements

  • Active TS/SCI Clearance.
  • Bachelor's degree in Education, Instructional Design, Intelligence Studies, Data Science, or a related field, or;
    • a minimum of five (5) years of equivalent experience in technical training, curriculum development, or applied instruction.
  • Expert-level knowledge in data engineering, geospatial analysis, and open-source intelligence (OSINT) methodologies.
  • Demonstrated proficiency in developing and delivering training on the use of Jupyter Notebooks, API integrations, metadata management, and structured data layer development.
  • Familiarity with secure data environments, role-based access controls (RBAC), and cataloging standards is essential.
  • Skilled in creating and adapting hands-on instructional content for technical users, including practical exercises that simulate real-world data processing, analysis, and visualization tasks.
  • Ability to coordinate with the Training Coordinator to align delivery with broader training objectives and ensure content is responsive to Government-directed priorities.
  • Strong written and verbal communication skills are required to facilitate documentation, post-training support, and dynamic engagement with both U.S. and partner nation personnel.
  • Demonstrate working knowledge of OSINT methodologies, geospatial data analysis, or intelligence tradecraft, with practical exposure to ESRI ArcGIS, dashboard analytics, Jupyter Notebooks, or other mission-relevant tools.

Preferred Qualifications

  • Experience supporting interagency collaboration, training program evaluation, or working with international or partner-nation personnel is desirable but not required for baseline qualification.
  • The position is suited for junior to mid-level professionals with strong instructional delivery skills and the ability to develop practical, scenario-based technical content.
Additional Information

Work Environment

  • Normal office conditions.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.