Hire the Top 2% of
Remote Apache Spark Developers
in Brazil

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

Freelance contractors Full-time roles Global teams

$0 until you hire Remote Apache Spark Developers$0 until you hire
Trusted by

577 Remote Apache Spark developers and experts available to hire:

Apache Spark coder - Samuel S.
vetted-badge
Samuel S.

Vetted Apache Spark developer in Brazil (UTC-3)

As a Data Engineer with over 5 years of experience, I've led multiple data migration projects and developed robust ETL pipelines using AWS and PySpark. I've improved data processing efficiency by implementing automated workflows and achieving 98% code coverage in testing. Currently working in the automotive industry, I integrate AI/ML solutions while collaborating with international teams. With a strong background in Computer Science, post-graduate studies in AI / Big Data, and an MBA in Software Engineering, I combine technical expertise in Python, SQL, and cloud technologies with a passion for building scalable data solutions.

Apache Spark architect - João J.
vetted-badge
João J.

Vetted Apache Spark 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.

Apache Spark coder - Igor U.
vetted-badge
Igor U.

Vetted Apache Spark developer in Brazil (UTC-3)

Sr Data Engineer | AWS Solutions Architect Certified | Spark Databricks developer Certified * 📷Sigma Software Group * 📷Federal University of Viçosa I'm Igor and I'm working in the IT area since 2015. I started my career being a software engineer, working on the backend, front end development, and DevOps, but at that time we already handled lots of data, but some datasets had become pretty much larger than we had used to see, so I discovered my real passion: the big data world. So I decided to jump into the data world where I'm until today. I'm a Data Engineer more focused on programming and infrastructure, so I have worked providing larger data engineering teams with some customized tools to help them during their data pipeline development. I have experience in providing and maintaining big data clusters, either on-premises or on the cloud, with some ready-to-use open-source (or customized) tools like Hadoop, Spark, Hive, Presto, Druid, Sqoop, NiFi, and others. Across all my work experience, I have done some user education 1:1s and training sessions to help our consumers on using our tooling efficiently. Also, sometimes I was allocated to some projects in order to help in data pipeline development using both real-time and batch approaches. One of my greatest achievements regarding this was designing and developing an automated framework for ETL development where business users can focus more on data pipeline development rather than what surrounds it. This project has been largely used and improved nowadays by the responsible team. I have also experience with ML in production or MLOps. I have worked as a technical lead in an MLOps squad helping my team on designing and development of a whole ML platform where users can develop, build, deploy and monitor their own ML models using some key concepts like model bias, input/output data drift (data quality and integrity) without any DevOps skills or extra knowledge

Apache Spark engineer - Yuri L.
vetted-badge
Yuri L.

Vetted Apache Spark developer in Brazil (UTC-3)

Professional with extensive experience in Big Data, Data Engineering, Data Science, Data Modeling, Database, SQL, BI and Project Management. Big Data Analysis MBA from FIA - USP, an internationally recognized institution in the Financial Times ranking. With over 23 years of experience in information technology and several programming languages. Holder of the title of worldwide recognition by PMI (Project Management Institute) for project management PMP (Project Management Professional). Holder of 2 Post-Graduations in Project Management from PUC - RJ.

Apache Spark developer - Caio S.
vetted-badge
Caio S.

Vetted Apache Spark developer in Brazil (UTC-3)

As a data engineer I'm driven by solving problems with the most clean and efficient solution, I am passionate about working with data in many different levels. With experience from collecting data all the way to creating dashboards and drawing insights I can reliably take in consideration the wider scope of any process do design and implement data driven solutions.

Apache Spark programmer - TIAGO P.
vetted-badge
TIAGO P.

Vetted Apache Spark developer in Brazil (UTC-3)

Data Scientist with a strong background in systems analysis and development, complemented by a postgraduate degree in Artificial Intelligence applied to industry. Over the years, I have transitioned from front-end and full-stack development to specializing in data science, machine learning, and AI. My expertise spans across computer vision, natural language processing (NLP), and large-scale data analytics, with hands-on experience in Python, PySpark, SQL, and cloud platforms like AWS and Azure. I have a proven track record of delivering innovative AI solutions, from developing predictive models and optimizing machine learning pipelines to deploying scalable AI systems in production. My career is driven by a passion for solving complex business challenges through data-driven insights and cutting-edge AI technologies. I aspire to continue pushing the boundaries of AI, contributing to impactful projects that leverage machine learning and deep learning to drive business growth and innovation.

Apache Spark architect - Paulo A.
vetted-badge
Paulo A.

Vetted Apache Spark developer in Brazil (UTC-3)

Hi, I'm Paulo! As a dynamic Data Engineer and Senior Data Specialist with over 12 years in the tech industry, my career has been shaped not just by technology, but by a genuine curiosity to solve complex problems. Starting from my foundation in Production Engineering and further expanding through a postgraduate degree in Software Engineering, I’ve always been fascinated by how data can drive impactful business results. My journey has taken me through diverse challenges, from building ETL pipelines that scale across different platforms to automating workflows using Power Automate and creating custom applications with Power Apps. But what truly motivates me is seeing the real-world impact these solutions have on organizations and teams. Currently, as a Senior Data Specialist at CI&T, I’m diving deeper into Azure Data Factory, Apache Spark, and distributed computing to drive even greater innovation. I thrive in collaborative environments, having worked closely with cross-functional teams to ensure data architectures align with business goals, leading to successful projects and lasting partnerships with clients around the world. Beyond the tech, I’m passionate about continuous learning. I’m currently pursuing certifications in Microsoft Azure Data Engineering and GCP Professional Data Engineering to keep pushing my limits.

Apache Spark developer - Marcos J.
vetted-badge
Marcos J.

Vetted Apache Spark developer in Brazil (UTC-3)

I have 12+ years of experience in technology with a strong background in software development using languages such as Scala, Python, and Java. Over the last 7 years, I transitioned into a data engineering role, contributed to and led end-to-end data projects, optimizing cloud-based architectures, and improving data pipelines for scalability and performance. **Some Certifications:** * AWS Solutions Architect Associate (AWS, emitted on 03/2024) * AWS Data Analytics Specialty (AWS, emitted on 10/2022) * AWS Cloud Practitioner (AWS, emitted on 05/2022) * Databricks Data Engineer Associate (AWS, emitted on 11/2022)

Apache Spark engineer - Bruno C.
vetted-badge
Bruno C.

Vetted Apache Spark developer in Brazil (UTC-3)

Hello, I'm Bruno! I’m a senior software engineer specializing in DevOps and Data Engineering. I’ve been working on projects of architecture, build, and automation of data platforms. Also, I already designed and built a data lake and data warehouse used by thousands of users. I am very goal-oriented, and I deep dive into reaching them. For this, I always try to optimize the reliability, scalability, and maintainability of the projects I work on. I tackle challenges and complex projects with enthusiasm, and excellent analytic skills.

Apache Spark consultant - hugo A.
vetted-badge
hugo A.

Vetted Apache Spark developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Discover more freelance Apache Spark developers today

Why choose Arc to hire Apache Spark developers

Access vetted Apache Spark developers

Access vetted Apache Spark developers

Meet freelance Apache Spark developers who are fully vetted for domain expertise and English fluency.

View matches in seconds

View matches in seconds

Stop reviewing 100s of resumes. View Apache Spark developers instantly with HireAI.

Save with global hires

Save with global hires

Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.

Get real human support

Get real human support

Feel confident hiring Apache Spark developers with hands-on help from our team of expert recruiters.

Excellent
tp-full-startp-full-startp-full-startp-full-startp-half-star

Why clients hire Apache Spark 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

How to use Arc

  1. 1. Tell us your needs

    Share with us your goals, budget, job details, and location preferences.

  2. 2. Meet top Apache Spark developers

    Connect directly with your best matches, fully vetted and highly responsive.

  3. star icon
    3. Hire Apache Spark developers

    Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.

Hire Top Remote
Apache Spark developers
in Brazil

Arc talent
around the world

450K+

Arc Apache Spark developers
in Brazil

577
Freelance Apache Spark developers in Brazil

Ready to hire your ideal Apache Spark developers?

Get started

Build your team of Apache Spark developers anywhere

Arc helps you build your team with our network of full-time and freelance Apache Spark developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire an Apache Spark 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 an Apache Spark 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 Apache Spark developers can help keep your website up-to-date.

How do I hire Apache Spark developers?

To hire an Apache Spark 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 Apache Spark developers effectively and efficiently. Hire full-time Apache Spark 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 Apache Spark 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 Apache Spark 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 Apache Spark developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Apache Spark developers?

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

Some factors to consider when you hire Apache Spark 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 Apache Spark developers for hire.

How do I write an Apache Spark developer job description?

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

What skills should I look for in an Apache Spark developer?

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

What kinds of Apache Spark developers are available for hire through Arc?

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

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

Every Apache Spark 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 Apache Spark 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 Apache Spark developer's skills?

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

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

How much does a freelance Apache Spark developer charge per hour?

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

Your future Apache Spark developer is
just around the corner!

Risk-free to get started.