Hire the Top 2% of
Remote Big Data Developers
in Brazil

Your trusted source for top remote Big Data developers, engineers, expert programmers, freelancers, and consultants in Brazil — Perfect for startups and enterprises.

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900 Remote Big Data developers and experts available to hire:

Big Data engineer - Yuri A.
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Yuri A.

Vetted Big Data developer in Brazil (UTC-3)

I am a Python Developer with expertise in Machine Learning, Geospatial Analysis, Statistical Analysis and Functional Programming. I hold a BSc in Aerospace Engineering and have worked on impactful projects in AI.

Big Data developer - Emerson F.
Emerson F.

Big Data developer in Brazil (UTC-3)

I'm a technology enthusiast who believes in the power of tech to change the world and improve people's lives. I've been working as a developer for over 15 years, mostly in financial companies. I have experience with DevOps, Agile methodologies, and more. As a mentor, I’ve always enjoyed sharing knowledge and helping others grow. Seeing people progress makes me genuinely happy.

Big Data programmer - Daniel N.
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Daniel N.

Vetted Big Data developer in Brazil (UTC-3)

Skilled Software Developer with a broad range of expertise encompassing Amazon Web Services (AWS), API development, Full Stack, Requests, software engineering, XPath, Web and Mobile App development, SAP, Selenium, Unit Testing, Python Programming, Web Crawling solutions, Automatic Testing, OpenCV, Windows Azure Platform, Cloud Computing, Data Validation, Data Lake, PostgreSQL, MongoDB, Node.js, Business Logic, Vue.js, SAP ERP, JIRA, C#, GitHub, Google Cloud Platform, and Flutter. Daniel has successfully engineered hyperscale SAP and cloud solutions for international companies, leading cloud migration projects and demonstrating proficiency in developing and deploying automation crawlers and APIs. He has a strong track record in software application development, excelling in automated testing methodologies and unit testing and utilizing diverse tech stacks tailored to project requirements. Daniel has also demonstrated crisis management skills in resolving Disaster Recovery.

Big Data architect - João J.
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João J.

Vetted Big Data developer in Brazil (UTC-3)

Data Engineer with 5+ years of experience in data transformation and pipeline development. Designed and implemented high-quality data pipelines, ensuring data accuracy, reliability, and validation—enabling organizations to make data-driven decisions with confidence. Combines technical expertise with a strong commitment to delivering robust data solutions.

Big Data developer - Bruno O.
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Bruno O.

Vetted Big Data developer in Brazil (UTC-3)

Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert

Big Data engineer - Luan C.
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Luan C.

Vetted Big Data developer in Brazil (UTC-3)

Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.

Big Data architect - Leonardo C.
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Leonardo C.

Vetted Big Data developer in Brazil (UTC-3)

_**A cloud certified developer with 10 years of experience responsible for complex modelling and engineering of vast amounts of data.**_ * Certified AWS Solutions Architect Associate and AWS Machine Learning Specialty. * Among consolidated technical skills are Deep Learning, NLP, LLM, embedded systems programming; data analysis development and programming; cloud computing; Big Data and large-scale database queries; Machine Learning modeling and statistical tests for data analysis; exploratory analysis, data visualization and dashboard creation. * Control and Automation Engineer with Master's and Postgraduate degrees, both with an emphasis in relevant areas for data analysis and Artificial Intelligence. * Award in national Data Mining competition. * Portfolio includes parallel projects such as the development of a Web App for analyzing sporting events, demonstrating ability to innovate and apply knowledge in a practical and impactful way. * Proficient in languages and tools such as Python, SQL, R, Tensorflow, Keras, Pandas, ScikitLearn, Plotly DASH, Tableau, Power BI, among others. Stands out not only for his extensive experience and technical qualifications, but also for his ability to apply his skills in an impactful way, generating real value for the institutions he has worked for.

Big Data developer - Rafael F.
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Rafael F.

Vetted Big Data developer in Brazil (UTC-3)

Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.

Big Data expert - Matheus S.
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Matheus S.

Vetted Big Data developer in Brazil (UTC-3)

Data Scientist/ML Engineer with five years of experience and a firm grasp of machine learning principles. I excel in Python, PyTorch, SQL, Docker, and GCP/AWS. My main areas of expertise are computer vision, natural language processing, and generative AI.

Big Data architect - Bruno O.
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Bruno O.

Vetted Big Data developer in Brazil (UTC-3)

I’m a passionate Software & Data Engineer with 15 years of experience designing and developing high-throughput, event-driven Microservices and batch and stream processing data pipelines that handle several terabytes daily. I thrive best on fast-paced environments where teams have the autonomy to innovate and experiment with new ideas.

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Why clients hire Big Data 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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Hire Top Remote
Big Data developers
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FAQs

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

How do I hire Big Data developers?

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

Where do I hire the best remote Big Data developers?

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

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

How do I write a Big Data developer job description?

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

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

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

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

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

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

Every Big Data 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 Big Data 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 Big Data developer's skills?

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

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

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

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

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