Hire the Top 2% of
Freelance Jupyter Developers

Arc helps you find and hire top freelance Jupyter engineers for your jobs. With 109 Jupyter programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Jupyter developers and experts that you can trust.

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Ethan A., freelance Jupyter developer
Ethan A.

Jupyter developer in the United States (UTC-7)

Looking to solve problems and build solutions in the data space. I hold a Master's in Computer Science with a focus on Machine Learning and a Bachelor's in Computer Science. I have experience as a Software Engineer at Palantir Technologies and as a Data Engineer at Charter Communications. My skills include Python, SQL, TypeScript, PyTorch, and React.

Emmanuel C., Jupyter freelance programmer
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Emmanuel C.

Vetted Jupyter developer in the United Kingdom

As a highly experienced Software Engineer, I bring a diverse and comprehensive skill set spanning multiple programming languages and technologies. I excel in developing robust and efficient software solutions tailored to complex challenges. My expertise in cloud platforms like AWS, along with tools such as Terraform and Concourse, enables me to design and implement scalable, secure, and automated infrastructures. With a strong foundation in DevOps practices and software security, I am committed to bridging the gap between development and operations to ensure seamless and reliable delivery. I am also passionate about leveraging data analytics and machine learning to drive insightful and innovative solutions that propel business growth and efficiency. I thrive in collaborative environments where cutting-edge technology meets strategic thinking, continually striving to enhance performance and deliver exceptional results across all facets of software development.

Jordan C., freelance Jupyter programmer
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Jordan C.

Vetted Jupyter developer in Peru (UTC-5)

I'm Jordan Lazo, a seasoned software developer with 6+ years of experience in cutting-edge technology stacks. My expertise spans Python web frameworks like FastAPI, Flask, and Django, complemented by skills in SQL and NoSQL databases such as MySQL, PostgreSQL, MongoDB, Redis, DynamoDB, etc; and comprehensive cloud infrastructure, particularly in AWS. My professional journey goes beyond traditional web development, diving deep into the exciting world of AI and specifically Deep Learning. I've not only worked extensively with machine learning technologies but have also contributed academically by publishing a research paper published 2 years ago. Recently, I've been working with LLMs in a startup. Throughout my career, I've developed a holistic approach to technology solutions, bridging complex technical challenges with innovative implementations. My ability to navigate diverse technological landscapes, from backend dev to AI, allows me to deliver comprehensive and forward-thinking solutions.

Hernan Z., freelance Jupyter programmer
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Hernan Z.

Vetted Jupyter developer in Argentina (UTC-3)

I started working as a professional developer at the age of 19 but my first app was a QBasic app for DOS developed for my dad when I was 12... it's been a long time since I started to develop!! Backend, web, desktop, game and mobile developer using mostly Microsoft technologies (Azure, [asp.net](http://asp.net/), [asp.net](http://asp.net/) core, Xamarin, javascript, typescript, several UI fwks, Blazor, etc). Experienced DB developer, indexes, tuning, queries and modeler, using sql and no sql databases, mostly Microsoft databases, SQL Server, Azure SQL, Cosmos DB, etc. I'm a DevOps fanatic (CI / CD using AzureDevOps, yaml, docker containers and Microsoft app center for mobile apps) and Agile lover with Scrum certification. Learning Python + AI as a hobbie. Blockchain enthusiastic, some ETH smart contracts POCs. As you can see in my GitHub repo ([https://github.com/vackup](https://github.com/vackup)) or in my personal blog ([www.hernanzaldivar.com](http://www.hernanzaldivar.com/)), I'm technologist! I love to play with new and different technologies and I learn them very fast! So if there is something needed that I don't know, I'll learn it in a breeze. I've worked for several companies and several roles that include CTO, team leader, innovation lab leader, developer and architect and for several industries (payment, health, bank, social networks, gaming, insurance, agro, etc). Currently I'm working for a healthcare company based in Portland where all the micro UIs are developed using React and Node and the backend in .NET Core. I've been working on this project since November 2019. I've been part of a team working for a company that provides accounts payable (“AP”) automation software and payment solutions for middle-market businesses and their suppliers based in Charlotte, North Caroline for a couple of years where we had to travel to Charlotte one month per year to be with the team locally. I used to have 2 iOS apps published and lots of POCs including Android. Creator of hypstr, an iOS app that let’s you customize your digital life to the fullest,letting you download great designer wallpapers and a game called "A comic of zombies". Worked on a native mobile xamarin fishing social network app for iOs / Android remotely for an USA client. That's me, a guy from Argentina who tries to make things more efficient in a different way and having fun in the attempt. I love to travel and learn about new cultures, do snowboarding, spend time with my family, kids and friends. I take care of enviroment and try to make the difference.

Lucas H., freelance Jupyter developer
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Lucas H.

Vetted Jupyter developer in Brazil (UTC-3)

Master and Bachelor in Computer Science | Machine Learning Engineer. An enthusiast for entrepreneurship and the business world, with experience in a range of projects in the technology industry and in the area of startups. I have experience with web projects and in the last few years, I am focused on Data Analysis / Science / Engineer. During these projects, I worked with teams, managing tasks and developing features using agile methodologies like Kanban and Scrum. My master's research was focused on the Artificial Intelligence (AI) area, using and comparing machine learning techniques in the identification of writers' manuscripts. With my work, I made four international publications. During graduation, I participated in extension and research projects. I was one of the founding members of HackerSpace Maringá (a community laboratory) and also reactivated the academic center of the course, in which I was president for two years. “Success is the sum of small efforts, repeated day-in, and day-out.” - Robert Collier

Mohamed A., Jupyter freelance developer
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Mohamed A.

Vetted Jupyter developer in Belgium (UTC+1)

Experienced Data Scientist with a strong track record of leveraging machine learning to solve complex problems in industries like oil, automotive, and telecom. At McKinsey, I led pricing and production optimization projects and guided junior data scientists in aerospace implementations. My expertise spans developing cost-saving models, enhancing workflows, and delivering data-driven business value, with a focus on technical development, stakeholder alignment, and strategic impact.

Marcel P., freelance Jupyter programmer
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Marcel P.

Vetted Jupyter developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)

JupyterData EngineeringBig DataEnglishData VisualizationData warehouseData modelingPerformance OptimizationData PipelinesETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationData MiningGitLabData analysisFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPData MigrationTableauSQL QueriesDatabase TuningIBM DB2Data structureApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLData processingPentahoStar SchemaData ManagementData analyticsQlik SenseTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignData CleansingCloud ArchitecturePower BIData CleaningData IntegrationGoogle Data StudioAgileSQL DatabasesLookerSnowflakeAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationAlteryxData QualityApache AirflowData manipulationAzure SQL DatabaseDataflowData wranglingAzure table storageDatabricksData ValidationBig Data EngineeringJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure Data FactoryData governanceBig data technologiesAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTAzure ConsultantMicrosoft Power AutomateData Warehouse TestingDelta LakeBig Data ArchitectureDataverseAzure Data EngineerAzure synapse analyticsAzure synapseVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsData ScienceRequirements GatheringTechnical WritingNoSQL DatabaseProblem-solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Azganush P., Jupyter freelance programmer
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Azganush P.

Vetted Jupyter developer in Armenia (UTC+4)

I'm a data professional with 4 years of experience in Data Science and Analytics. My skills cover statistics, data analysis, visualization, machine learning, and proficiency in Python, SQL, PySpark, BI tools, and dbt. I've built accurate churn prediction models and boosted user engagement through A/B testing. I hold a Micromasters in Statistics and Data Science from MITx and a Bachelor's degree in Economics.

Gian V., Jupyter developer for hire
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Gian V.

Vetted Jupyter developer in Italy (UTC+1)

Adaptability and leadership are my main skills. Expertise in Angular, Spring and Cloud services. Experienced in full-stack development and skilled in TypeScript, Java and Kotlin.

Allainclair S., senior Jupyter developer
Allainclair S.

Jupyter developer in Brazil (UTC-3)

I am a software engineer with nine years of experience. Most of my experience is in backend apps using Python-related technologies. I worked in small and big-sized companies designing, developing, and maintaining scalable apps.

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Why choose Arc to hire Jupyter developers

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FAQs

Why hire a Jupyter developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Jupyter developer, multiple developers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Jupyter developers can help keep your website up-to-date.

How do I hire Jupyter developers?

To hire a Jupyter developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Jupyter developers effectively and efficiently. Hire full-time Jupyter developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Jupyter engineers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Jupyter developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Jupyter developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Jupyter developers?

There are two types of platforms you can hire Jupyter programmers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Jupyter developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Jupyter developers, consider niche platforms like Arc that naturally attract and carefully vet their Jupyter developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Jupyter developer candidates.

Some factors to consider when you hire Jupyter developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Jupyter developers for hire.

How do I write a Jupyter developer job description?

Writing a good Jupyter developer job description is crucial in helping you hire Jupyter programmers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Jupyter developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Jupyter programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Jupyter engineer?

The top five technical skills Jupyter developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Jupyter developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Jupyter developers to keep up with evolving technology and requirements.

What kinds of Jupyter programmers are available for hire through Arc?

You can find a variety of Jupyter developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Jupyter programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Jupyter developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Jupyter developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Jupyter developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Jupyter developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Jupyter developers.

Every Jupyter developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Jupyter and breadth across the greater domain). Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Jupyter engineer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a developer’s Jupyter skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Jupyter developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Jupyter developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Jupyter developers, you can rest assured that all remote Jupyter developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Jupyter developers on Arc?

Arc pre-screens all of our remote Jupyter developers before we present them to you. As such, all the remote Jupyter developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Jupyter programmer in 72 hours, or find a full-time Jupyter programmer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Jupyter developers.

How much does a freelance Jupyter developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Jupyter developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Jupyter developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Jupyter developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Jupyter developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Jupyter developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Jupyter developers, check out our FAQs page.

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