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Freelance JupyterLab Developers

Arc helps you find and hire top freelance JupyterLab engineers for your jobs. With 450,000+ software 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 JupyterLab developers and experts that you can trust.

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Arbaaz S., freelance JupyterLab programmer
Arbaaz S.

JupyterLab developer in the United States (UTC-5)

Experienced Software Engineer with a Masters in Computer Engineering and 3+ years of work experience, proficient in C#, Python, SQL, and PowerBI. Specialty in designing and implementing User Interfaces and backend technologies.

Sri D., JupyterLab programmer for hire
Sri D.

JupyterLab developer in the United States (UTC-6)

I hold a Master's in Data Science and a Bachelor's in Electronics and Computer. I have experience in software engineering, AI research, and project leadership. Skilled in various data analysis tools and programming languages.

Diego P., freelance JupyterLab developer
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Diego P.

Vetted JupyterLab 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.

Jaime G., freelance JupyterLab developer
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Jaime G.

Vetted JupyterLab developer in Uruguay (UTC-3)

_As a data analyst my approach to data analysis extends beyond the conventional boundaries. While my experience aligns with the fundamental aspects of data analysis, I am driven by the prospect of creating significant future impact. Throughout my career, I've consistently gone beyond the expected, leveraging my expertise in Python, databases, and business intelligence to not only meet but exceed key performance indicators (KPIs)._ _What sets me apart is my ability to connect unique skills and experiences to generate value that goes beyond the typical hire. At previous organizations, I've demonstrated this by identifying innovative solutions and implementing data-driven strategies that have not only maintained but significantly enhanced outcomes. I believe in moving forward and elevating the status quo, always looking for opportunities to improve and optimize processes._ _As a forward-thinking data analyst, my approach to data analysis extends beyond the conventional. With a strong foundation in Python, databases, and business intelligence, I consistently surpass key performance indicators (KPIs) to drive remarkable outcomes. What sets me apart is my ability to seamlessly blend unique skills and experiences, creating value that transcends the ordinary. I've honed this talent by crafting innovative solutions and executing data-driven strategies in prior roles, resulting in substantial improvements. I'm not just a data analyst; I'm your strategic partner for future success. Together, we can elevate the status quo, stand out from the competition, and achieve remarkable results._

Anton B., freelance JupyterLab developer
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Anton B.

Vetted JupyterLab developer in Belgium (UTC+1)

Experienced full stack developer and architect with 20 years of expertise in designing and developing Web and Cloud-based applications. Proficient in backend development with Java and Python, experienced in leading projects and teams. Skilled in utilising AWS and GCP cloud services to deliver scalable solutions. Demonstrated proficiency in Java, including 4 years of programming mathematical models for Ph.D. thesis. Fluent in English and French.

Damian R., freelance JupyterLab programmer
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Damian R.

Vetted JupyterLab developer in Bolivia (UTC-4)

Dynamic Full-Stack Developer with over 7 years of experience, predominantly in Frontend Development (70% Frontend / 30% Backend), across diverse industries such as BaaS, FinTech, and Health. Specialized in building intuitive user interfaces and leading frontend development projects with proficiency in modern technologies like React, Next.js, and others. Demonstrated expertise in leading teams, streamlining workflows, and delivering innovative solutions on time. A problem-solver at heart, I excel in driving projects from concept to completion, ensuring high-quality standards in UI/UX design, and integrating backend services seamlessly.

Marcel P., freelance JupyterLab programmer
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Marcel P.

Vetted JupyterLab 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)

JupyterLabData 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 SenseJupyterTerraformApache 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 EngineeringApache 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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umair Q., freelance JupyterLab developer
umair Q.

JupyterLab developer in Pakistan (UTC-5)

Umair is a Senior Software Engineer with over 8 years of experience in the fields of Backend Development, Data Engineering, and Artificial Intelligence as an individual contributor and managing engineering teams. He has a proven track record of creating and implementing cutting-edge technologies, leading teams, and delivering successful projects that have helped companies grow their revenue. Umair has worked with international clients ranging from startups to SMEs with revenue in millions, helping them design layouts, infrastructure, and data pipelines. Several technologies in which he has developed expertise, include but not limited to Python, Django, Flask, Machine Learning, Natural Language Processing, AWS, GCP, REST, DevOps, MySQL, PostgreSQL, Redis, and Celery.

joshua.b ., JupyterLab freelance developer
joshua.b .

JupyterLab developer (UTC+6)

I am a **GenAI apps, data engineering & data visualization consultant, full-stack developer** with over **8+ years** of experience in this field \[over-all 24 years of experience\]. My interest and strong areas are hands on development of GenAI-apps, data engineering & visualization application using OSS tools & libraries: * code-review, refactoring, maintenance, enhancements to existing applications * debugging & troubleshooting existing code-base * pair-programming to guide & mentor new / entry level developers * software & user experience design * integrating with third-party APIs & Webservices * adding automated tests * refactoring to enhance, support & maintain legacy code * automating to manage deployments on cloud-based infrastructure Currently building interactive data visualization applications using OSS tools & frameworks: Web-Stack with **Python 3.6, Pandas, Tornado / Flask, HTML5, SVG, d3.js, vue.js**, variety of different data sources; Working with python API based LLM applications (Open AI) Having extensive hands on experience executing full development life-cycle, managing hosting & maintenance of the applications on the cloud environment.

Rudraksh A., JupyterLab freelance programmer
Rudraksh A.

JupyterLab developer in India (UTC-7)

Pursuing opportunities in Data Science, Quantitative Finance, or related domains leveraging 3 years of varied experience in Model Development, Data Analysis, and Credit Risk Assessment.

Discover more freelance JupyterLab developers today

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FAQs

Why hire a JupyterLab 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 JupyterLab 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 JupyterLab developers can help keep your website up-to-date.

How do I hire JupyterLab developers?

To hire a JupyterLab 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 JupyterLab developers effectively and efficiently. Hire full-time JupyterLab 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 JupyterLab 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 JupyterLab 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 JupyterLab developer for your company, and let Arc handle the logistics.

Where do I hire the best remote JupyterLab developers?

There are two types of platforms you can hire JupyterLab 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 JupyterLab 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 JupyterLab developers, consider niche platforms like Arc that naturally attract and carefully vet their JupyterLab developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote JupyterLab developer candidates.

Some factors to consider when you hire JupyterLab 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 JupyterLab developers for hire.

How do I write a JupyterLab developer job description?

Writing a good JupyterLab developer job description is crucial in helping you hire JupyterLab 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 JupyterLab 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 JupyterLab programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a JupyterLab engineer?

The top five technical skills JupyterLab 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 JupyterLab 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 JupyterLab developers to keep up with evolving technology and requirements.

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

You can find a variety of JupyterLab developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance JupyterLab programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote JupyterLab 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 JupyterLab 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 JupyterLab developers?

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

Every JupyterLab 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 JupyterLab 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 JupyterLab 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 JupyterLab skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted JupyterLab 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 JupyterLab 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 JupyterLab developers, you can rest assured that all remote JupyterLab 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 JupyterLab developers on Arc?

Arc pre-screens all of our remote JupyterLab developers before we present them to you. As such, all the remote JupyterLab 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 JupyterLab programmer in 72 hours, or find a full-time JupyterLab 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 JupyterLab developers.

How much does a freelance JupyterLab developer charge per hour?

Depending on the freelance developer job board you use, freelance remote JupyterLab developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find JupyterLab 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 JupyterLab 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 JupyterLab 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 JupyterLab 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 JupyterLab developers, check out our FAQs page.

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