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4,395 Remote Data parsing developers and experts available to hire:

Sumit M., Data parsing developer
Sumit M.

Data parsing developer in India (UTC-7)

Data Engineer with 3 years of experience in SQL, Python, PL/SQL, and Azure Databricks. Skilled in data pipelines, ETL, and database optimization. Quick learner with a passion for data-driven solutions.

Data analysisData PipelinesData manipulationData parsingSQLPythonAzureOracle PL/SQLETLApache SparkDatabricks
+4
Oracle PL/SQL, ETL, Apache Spark, Databricks
Meet V., Data parsing developer
Meet V.

Data parsing developer in India (UTC+6)

I am looking for a career-building opportunity in Data Analytics & Data Science to thoroughly utilize my people skills along with my technical proficiencies considering any challenges appointed to me and to exhibit adaptiveness.

Startup experienceData Science • 4 yrsData analysisData manipulationData parsingSQLPythonNLPTensorFlowLLMAIAPIGitHubJiraETLTableauAmazon RedshiftBlockchainWeb3Machine learningPredictive modelingR PlottingRegexOracleSeleniumPandasWeb ScrapingMicrosoft SQL ServerSnowflakeAzure synapse
+22
TensorFlow, LLM, AI, API, GitHub, Jira, ETL, Tableau, Amazon Redshift, Blockchain, Web3, Machine learning, Predictive modeling, R Plotting, Regex, Oracle, Selenium, Pandas, Web Scraping, Microsoft SQL Server, Snowflake, Azure synapse
Kayyasit S., Data parsing developer
Kayyasit S.

Data parsing developer in Thailand (UTC+7)

Data-driven leader with 3+ years of experience designing scalable data pipelines using PySpark, Airflow, SQL, Azure Data Factory, Azure Databricks and JSON. Skilled in machine learning, Scrum-based Agile methodologies, collaboration and effective communication, driving business growth across diverse industries.

Data warehouse • 4 yrsData modeling • 4 yrsData VisualizationData CleaningData manipulationData parsingPythonSQLWeb ScrapingPower BITypeScriptAzureStakeholder managementEngineering ManagementPandasAutomationJupyterOracle Database
+11
SQL, Web Scraping, Power BI, TypeScript, Azure, Stakeholder management, Engineering Management, Pandas, Automation, Jupyter, Oracle Database
Kostadin T., Data parsing developer
Kostadin T.

Data parsing developer in Bulgaria (UTC+2)

I am a highly skilled Software Architect with extensive experience in team and project management, AI development, web development, database development, cloud integration, and software solutions. My technical skills include various programming languages and technologies.

Data parsing.NETSQLEF CoreDocker & KubernetesCloudReactLive StreamingHTML/CSSPHPJavaC#MySQLAngularOracleCSS3PostgreSQLSeleniumNginxNoSQLDelphi 7Project managementVMwareFirebirdVirtualizationWeb DevelopmentDockerManagementHyper-VJavaScriptLoad BalancingMicrosoft SQL ServerKubernetesCloud computingCloud SystemsAgileASP.NETDistributed Systems ArchitectureDatabase DevelopmentAIMulti Core developmentAJAXERPOracle 10gUr/WebWeb server developmentInternet Business SolutionsClient sideDeveloper ToolsReport Builder
+43
Live Streaming, HTML/CSS, PHP, Java, C#, MySQL, Angular, Oracle, CSS3, PostgreSQL, Selenium, Nginx, NoSQL, Delphi 7, Project management, VMware, Firebird, Virtualization, Web Development, Docker, Management, Hyper-V, JavaScript, Load Balancing, Microsoft SQL Server, Kubernetes, Cloud computing, Cloud Systems, Agile, ASP.NET, Distributed Systems Architecture, Database Development, AI, Multi Core development, AJAX, ERP, Oracle 10g, Ur/Web, Web server development, Internet Business Solutions, Client side, Developer Tools, Report Builder
Andres G., Data parsing developer
vetted-badge
Andres G.

Vetted Data parsing developer in Colombia (UTC-5)

Physicist with a Master’s degree in AI and extensive experience in machine learning, NLP, and predictive analytics. Experience with machine learning and data analysis with background in creation of traditional classification and regression models (SVM, Logistic Regression, Random Forest, etc) and deep neural networks. Skills in SQL, Pandas, Numpy and Sklearn for data analysis as well as Seaborn, and Power BI for data visualization. Experience using Tensorflow and Pytorch for creation of NN’s. Knowledge of SQL. Experience in NLP, using RAG techniques on open source LLMs. Experience in Google Cloud Platform (GCP). Undergraduate degree in Physics with experience in simulation of physical systems and computational physics.

Data Science • 3 yrsData parsingPythonMachine learningLLMAnalysisNLPGoogle Cloud PlatformPredictive modelingRAGGcp vertex aiPhysicsTutoringCalculusLinear AlgebraSQLPandasForecastingPower BI
+12
Google Cloud Platform, Predictive modeling, RAG, Gcp vertex ai, Physics, Tutoring, Calculus, Linear Algebra, SQL, Pandas, Forecasting, Power BI
Ibrahim A., Data parsing developer
vetted-badge
Ibrahim A.

Vetted Data parsing developer in Nigeria (UTC+1)

Python geek with a strong background in data extraction, automation, processing and storing, with high level expertise in web scraping, utilizing various tech stacks with Python and JavaScript, and cloud resources to effectively design systems, allocate and scale resources as needed. Also at my disposal is machine learning and large language model expertise allowing me to build robust data solutions

Data modeling • 1 yrsData CleaningData parsingPythonWeb ScrapingAWSMachine Learning ModelsGoogle Cloud PlatformSQLETLNode.jsMachine learningFlaskSeleniumGitHubAmazon EC2Amazon S3PandasTwitter APIScrapyGoogle Chrome DevToolsJavaScriptAWS LambdaGoogle Apps ScriptPuppeteerGoogle Cloud RunFastapiPlaywrightLinuxBrowser Automation
+23
Google Cloud Platform, SQL, ETL, Node.js, Machine learning, Flask, Selenium, GitHub, Amazon EC2, Amazon S3, Pandas, Twitter API, Scrapy, Google Chrome DevTools, JavaScript, AWS Lambda, Google Apps Script, Puppeteer, Google Cloud Run, Fastapi, Playwright, Linux, Browser Automation
Matthew L., Data parsing developer
vetted-badge
Matthew L.

Vetted Data parsing developer in the United States (UTC-5)

I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation

Big DataData ScienceData analyticsPythonAWSCloud ArchitectureCloudHTML/CSSPHPJavaSQLNode.jsAzureReactGoogle Cloud PlatformJavaScriptGoLeadershipApache KafkaTerraformDevSecOpsInfrastructureEvent-Driven Architecture
+16
HTML/CSS, PHP, Java, SQL, Node.js, Azure, React, Google Cloud Platform, JavaScript, Go, Leadership, Apache Kafka, Terraform, DevSecOps, Infrastructure, Event-Driven Architecture
George D., Data parsing developer
George D.

Data parsing developer in the United States (UTC-7)

I'm a web application developer with about a decade of experience. Most of this has been with Python and Django. I can help with any part of the web application stack from JavaScript to the SQL database, but my area of expertise is back-end development. I have multiple rates; mentoring requires more scheduling and is more stressful, so for-hire projects will cost less per hour than mentoring. I also have a "Do Your Homework" rate of $75/hr with a minimum of 1 hour. Code Portfolios: [https://github.com/georgedorn](https://github.com/georgedorn) [https://gitlab.com/u/georgedorn](https://gitlab.com/u/georgedorn) (Slowly moving new projects to gitlab). Notable projects: Tastypie (REST API builder for Django) [https://github.com/django-tastypie/django-tastypie](https://github.com/django-tastypie/django-tastypie) Magellan (Personal search engine / spider, for Django and Elasticsearch) [https://gitlab.com/georgedorn/django-magellan/tree/master](https://gitlab.com/georgedorn/django-magellan/tree/master)

Data PipelinesData parsingBig DataPythonGitRESTful APIPostgreSQLFlaskJupyterDockerOpenCVDjangoAPILambdaCeleryAnsiblepytestOLAPMentoringPostGISAutomated TestsVue.jsDjango rest apiAWSContainerizationKubernetesMicroservicesDevOpsTesting SuitesInternationalisationAmazon EC2SphinxSOA (Service-Oriented Architecture)FabricETLMultivariate AnalysisSaaS
+30
Flask, Jupyter, Docker, OpenCV, Django, API, Lambda, Celery, Ansible, pytest, OLAP, Mentoring, PostGIS, Automated Tests, Vue.js, Django rest api, AWS, Containerization, Kubernetes, Microservices, DevOps, Testing Suites, Internationalisation, Amazon EC2, Sphinx, SOA (Service-Oriented Architecture), Fabric, ETL, Multivariate Analysis, SaaS
Helena W., Data parsing developer
vetted-badge
Helena W.

Vetted Data parsing developer in the United States (UTC-4)

I am an ex-Coinbase data analyst and growth marketing manager with deep experience building growth loops and models for both startups and public companies based on product/customer data. I also have led growth marketing at Teal and Examine.com and have grown revenue by debugging AARRR funnels, bridging both technical and qualitative aspects of marketing analytics and strategy. The startup world has always been a fun and exciting stage for me, and I hope to find ambitious founders to consult for and help them overcome their product and marketing blockers to reach the next stage of profitable growth. With expertise in SQL, JavaScript, Python, and more, and comfort setting up Meta pixels and conversion API, I act as a single expert deploying code, analyzing funnels, and building data reports and post-mortems for marketing campaigns.

Data analytics • 4 yrsSQLPythonExcelJavaScriptPower BIGoogle Cloud PlatformRHTML/CSSMixpanelWebflowHubSpotConversion Rate OptimizationGoogle BigQueryApache SparkLookerAdobe AnalyticsJira/confluenceETLSnowflakeExcel formulas
+14
R, HTML/CSS, Mixpanel, Webflow, HubSpot, Conversion Rate Optimization, Google BigQuery, Apache Spark, Looker, Adobe Analytics, Jira/confluence, ETL, Snowflake, Excel formulas
Rahul ., Data parsing developer
Rahul .

Data parsing developer in India (UTC+6)

I am a Software Engineer with 4 years of experience in Python, skilled in LLM, SQL, ML, DSA, Git, Pandas, Numpy, Azure. I have improved data extraction efficiency by 40% and data quality by 25%.

Data structureData parsingPythonPandasNumPyTensorFlowAnalysisLLMTableauPower BI
+3
LLM, Tableau, Power BI

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Why clients hire Data parsing 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 Data parsing 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 Data parsing 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 Data parsing developers can help keep your website up-to-date.

How do I hire Data parsing developers?

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

Where do I hire the best remote Data parsing developers?

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

Some factors to consider when you hire Data parsing 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 Data parsing developers for hire.

How do I write a Data parsing developer job description?

Writing a good Data parsing developer job description is crucial in helping you hire Data parsing 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 Data parsing 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 Data parsing developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Data parsing developer?

The top five technical skills Data parsing developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Data parsing 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 Data parsing developers to keep up with evolving technology and requirements.

What kinds of Data parsing developers are available for hire through Arc?

You can find a variety of Data parsing developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data parsing developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data parsing 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Data parsing 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 Data parsing developers?

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

Every Data parsing 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 Data parsing 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 Data parsing developer's skills?

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

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

How much does a freelance Data parsing developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data parsing developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data parsing 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 Data parsing 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 Data parsing developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 Data parsing 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 Data parsing developers, check out our FAQs page.

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