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Top Jupyter developers available to hire:

Jupyter developers in Brazil - André S.
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André S.

Vetted Jupyter developer in Brazil (UTC-3)

I am a Data Engineer with over eight years of experience with data engineering and have worked since 2006 with databases. I started working with AWS in 2012 and always kept this provider as a focus, but I had also worked with GCP and Azure before. I built data pipelines with several architectures and tools for different purposes and companies' industries.

Jupyter developers in Brazil - Lucas H.
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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

Jupyter developers in Brazil - Laércio S.
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Laércio S.

Vetted Jupyter developer in Brazil (UTC-3)

As a Senior Data Engineer, I am responsible for designing and delivering an enterprise data solution, working closely with engineering, product, and data science teams to understand how to best deliver a data ecosystem that delivers on the immediate needs of the business and looks to the future as we scale. Working to get the most out of data generated in the operation and use of the system – including order data, investor data, and usage data – as well as setting up secure and efficient protocols for migrating partner data and incorporating third-party data sets. * Knowledge and proven experience in object-oriented design, performance/scalability tuning, algorithms, and computational complexity. * Knowledge and proven experience in traditional RDBMS, Data Warehouse, and Big Data tools and technology. * Ability to read, interpret, design, and model data schemas (dimensional or no-dimensional). * Ability to create and maintain online and printed documents. * Ability to work cross-functionally to resolve technical, procedural, and operational issues appropriately. * Strong customer service skills and excellent verbal and written communication skills.

Jupyter developers in Brazil - Victor C.
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Victor C.

Vetted Jupyter developer in Brazil (UTC-3)

I am a **Data Scientist and Python Developer** with a **Ph.D. in Physics Applied to Medicine and Biology** from the University of São Paulo (USP). Specializing in advanced machine learning and data science, I explore complex systems and nonlinear phenomena. At **TripleTen**, I work as a **Data Science Instructor**, assisting students in understanding machine learning concepts and guiding their projects. Previously, at **Carta Healthcare**, I developed **AI-driven healthcare solutions**, enhancing EHR data extraction and clinical registry accuracy using NLP and data visualization. I have strong programming skills in Python and extensive experience with machine learning libraries like **Pandas**, **NumPy**, **SciPy**, **scikit-learn**, **TensorFlow**, and **PyTorch**. With multiple publications in top international journals, I have significantly contributed to chaos theory and complex networks. Committed to leveraging my expertise, I aim to address challenges in science and technology through innovative data analysis and AI techniques.

Jupyter developers in Brazil - Marcel P.
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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 warehouseData EngineeringBig DataEnglishData VisualizationData 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 fabricDBTMicrosoft 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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Jupyter developers in Brazil - Ana H.
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Ana H.

Vetted Jupyter developer in Brazil (UTC-3)

With 7 years in software development and 3 years as a tech lead and CTO, I have build and integrated web applications using Django, FastAPI, Golang and Angular. I have optimized code for performance and reliability, reducing bugs and feature development time. I worked mainly with AWS, using NoSQL databases and microservices for data consumption and processing.

Jupyter developers in Brazil - Thiago O.
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Thiago O.

Vetted Jupyter developer in Brazil (UTC-3)

Technically minded professional with progressive experience designing and maintaining architecture and infrastructure for efficient and accurate data processing. Expert in developing and updating AI routines, managing large amounts of data, and executing data science to extract value from data. Solid understanding of the database systems, data modeling, and data warehousing concepts. Strong passion for evolving effective and efficient solutions to complex problems. Talent for quickly learning new information, procedures, and technologies. Thrive in challenging, fast-paced, and high-pressure environments by utilizing superior problem solving, leadership, and organizational abilities. Exemplary communication and interpersonal skills; ability to build relations with customers, data scientists, analysts, stakeholders, and senior management.

Jupyter developers in Brazil - Diego P.
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Diego P.

Vetted Jupyter developer in Brazil (UTC-3)

Senior Full stack developer. PhD in Computer Science, master’s in informatics. Adjunct Professor at IFPB. Has 15 years’ professional experience in Computer Science, focusing on Software Development, DevOps and Data Engineering. I experienced significant professional growth during my tenure at Translucent Computing. Initially joining as a senior software developer, I played a pivotal role in various projects, handling responsibilities across both frontend and backend tasks, as well as overseeing devops. As I progressed, I assumed the role of tech lead, leading a team of over 10 developers to deliver high-quality, production-ready code. One significant project that showcased my contributions was the successful leadership in developing a financial (loan) system at Translucent Computing. This project, structured around microservices, comprised more than 10 microservices and integration with over 13 third-party services. Managing data consistency in this distributed environment posed a considerable challenge. My colleagues often highlight my strengths as a team member. They would describe me as a natural leader, appreciating my ability to foster positive relationships and maintain a respectful and collaborative work environment. Furthermore, they recognize my strong interpersonal skills, which contribute to effective communication and teamwork. Additionally, I am known for addressing challenges swiftly and efficiently. Overall, my co-workers would likely emphasize my leadership qualities, interpersonal skills, and quick problem-solving abilities as key strengths.

Jupyter developers in Brazil - Allainclair S.
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 clients hire Jupyter developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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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 engineers, 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 developers 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 developers 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 developers 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 developers.

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 developers 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 developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Jupyter developer?

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 developers 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 developers, 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. 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 developer 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 Jupyter developer's 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 developer in 72 hours, or find a full-time Jupyter developer 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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