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3,772 top Data parsing developers available to hire:

Freelance Data parsing developers - Matei C.
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Matei C.

Vetted Data parsing developer in Czech Republic (UTC+2)

Matei is a versatile full-stack web developer with expertise in web technologies, focusing on React, TypeScript, and Node.js among many others. An Olympic-level mathematician, he is adept at crafting complex systems and is passionate about continuous learning. Known for excellent communication and teamwork, he's highly collaborative and easy to work with. In his leisure, Matei is an enthusiastic pilot, enjoys camping with his rescue husky, Aku, and engages in strategy board games with friends.

Freelance Data parsing developers - sailee P.
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sailee P.

Vetted Data parsing developer in the United Arab Emirates (UTC-8)

Experienced Data Engineer, Python Developer, and Back-End Developer with over 5 years of expertise in designing and delivering high-performance, scalable IT solutions in BFSI domain. Proven ability to lead cross-functional teams, ensure adherence to enterprise architecture standards, and develop innovative solutions. Proficient in Python, Spark, Hadoop and Hive, with expertise in data governance, completeness checks, automation, and performance optimization. Adept at ensuring robust, secure, and optimized solutions that meet service level requirements and business objectives.

Freelance Data parsing developers - Samuel T.
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Samuel T.

Vetted Data parsing developer in Brazil (UTC-3)

I'm a full-stack software engineer with a background in Mechatronics (BS), Management of Industrial Processes (MS) and a heavy bias towards functional, declarative, and otherwise powerful problem-solving tools. I have a proven track of pragmatic business solutions, and am looking for a team that shares my passion for the craft as a whole. Over the past 7 years I’ve been responsible for the design and implementation of solutions involving client-side code (React with Reagent and Typescript with Rambda/Redux), server-side code (Clojure, Node and JavaEE), and a good deal of Ops (AWS, CDK, Terraform, Docker, Swarm, Github Actions), and a bit of firmware (PIC). https://www.github.com/aisamu

Freelance Data parsing developers - Ibrahim A.
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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

Freelance Data parsing developers - Janos S.
Janos S.

Data parsing developer in Hungary (UTC+2)

DSLs written in Scala and Ruby. Parsers written in Scala and Java using Combinator Parser, ANTLR and Grammar Kit. File Converters written in Scala, Java, C++ and C#. Plugins written in Scala, Ruby, Java and C++.

Freelance Data parsing developers - David H.
David H.

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

I am a Data Scientist and Data Engineer with experience in software development, data integration, and business intelligence applications. Skilled in various languages, databases, and deployment tools.

Freelance Data parsing developers - Müjdat B.
Müjdat B.

Data parsing developer in Turkey (UTC+3)

Software Engineer with over 25 years’ experience in involving all phases of CRM, Service Integration(SOA) with ESB, MIS, Big Data, ETL, Banking projects as a developer, solution architect, product owner and team leader roles. Takes pride in quickly learning new technologies in order to deliver a high quality product that meets user requirements. A team player who enjoys friendly, flexible, productive relationships with customers.

Freelance Data parsing developers - Diego C.
Diego C.

Data parsing developer in Ecuador (UTC-5)

Experienced and highly motivated Data Analyst with a strong background in NLP, web scraping, and text mining. Proficient in Python and adept at creating and maintaining RPAs. Skilled in database administration, and GIS. Fluent in English and Spanish. Excels in Linux and familiar with various databases. Looking forward to expanding expertise in data analysis and collaborating on engaging projects with talented individuals.

Data Science • 3 yrsData VisualizationData parsingPythonNLPMachine learningTensorFlowAIDatabaseWeb ScrapingText MiningStakeholder managementRobotic Process AutomationUnity
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Freelance Data parsing developers - Tayyab A.
Tayyab A.

Data parsing developer in Pakistan (UTC+5)

I am a highly skilled software developer with 4+ years of hands-on experience,adept at solving complex technical challenges with creativity and precision.I am also familiar with Agile methodologies and have experience working in a collaborative team environment to make robust software.

Freelance Data parsing developers - Mohamed E.
Mohamed E.

Data parsing developer in Egypt (UTC+2)

Software engineer with 8 years of working experience in the software industry. Skilled in back-end like JAVA, Kotlin, Node.JS and SQL, No-SQL. Strong engineering background with a Bachelor's degree in electrical and computer systems engineering from Faculty of Engineering, Ain Shams University.

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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 Software 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 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 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 software 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 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 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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