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Python Notebook Jupyter Jobs (NOW HIRING)

Siri InfoSolutions Inc

Data Scientist

Jersey City, NJ · On-site

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 ...

DeFiner Inc

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 ...

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How much do python notebook jupyter jobs pay per hour?

As of Sep 3, 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 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 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 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.

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Python Notebook Jupyter jobs near you
Infographic showing various Python Notebook Jupyter job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior‐Level Analytic Engineer (Java, Python)

IDS International

Annapolis, MD • On-site

$155 - $175/hr

Other

Re-posted 20 days ago

Job description

Job Title

Senior‑Level Analytic Engineer (Java, Python)

Locations

Annapolis Junction, MD

Shifts Available

Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements.

Job Description

IDS is seeking a Senior‑Level Analytic Engineer to support the Access Discovery and Optimization mission. The engineer will work closely with mission stakeholders to capture requirements, develop analytic capabilities, and deploy solutions across customer‑supported tools to automate and enable computer network data and metadata analysis.

Key Duties
  • Collaborate with mission and customer stakeholders to develop analytics using data from multiple cyber and SIGINT sources
  • Develop analytic capabilities used across the enterprise to support multiple mission objectives
  • Maintain existing applications and develop new tradecraft, techniques, and capabilities
  • Analyze related data to identify network devices and new opportunities supporting mission discovery
Requirements
  • Bachelor’s degree with eight (8) years of relevant experience, or equivalent
  • Proficiency in object‑oriented development using Java and Python
  • Experience using Jupyter Notebooks
  • Experience with MapReduce
  • Knowledge of customer corporate tools and data repositories
  • Active TS/SCI with Polygraph
Compensation

Salary range: $155,000 – $175,000

Benefits

Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds, but may vary depending on the position. Regular and predictable attendance is essential.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status, and any other characteristic protected by federal, state, and local law.

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