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Vetted Data engineer in Brazil (UTC-3)
With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.
Vetted Data engineer 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.
Vetted Data engineer in Brazil (UTC-3)
I am a data engineer and Backend Developer with more than 15 years of experience in software development and systems analysis. I have a bachelor's degree in Information System, a master's degree in Computer Science and a PhD in Mechanical Engineering with an emphasis on artificial intelligence. In the first quarter of 2020, finalize a data lake project on AWS to receive data from the industrial sector. I work with technologies such as AWS, Docker, Kubernetes, Java, AngularJS, Angular 8, Python, NodeJS, SpringBoot, PostgreSQL, SQL Server, MYSQL. I have the ability to learn and integrate different technologies.
Vetted Data engineer in Brazil (UTC-3)
Results-driven data engineer with 6 years of experience in designing and implementing data solutions. Proficient in leveraging PySpark, Python, Hadoop, PostgreSQL, and AWS to develop scalable and efficient data pipelines, ETL processes, and data warehousing solutions. Demonstrated expertise in optimizing data workflows, ensuring data quality and integrity, and driving data-driven decision-making. Adept at collaborating with cross-functional teams to deliver innovative solutions that meet business requirements. Strong problem-solving and analytical skills combined with a commitment to continuous learning and staying up-to-date with emerging technologies in the data engineering space.
Vetted Data engineer in Brazil (UTC-3)
I am a Software Engineer who has been working with data since 2017. In my career, I have worked on different solutions, such as planning and building a Data Lake on AWS using Delta Lake to store 3D Printer sensor information, and developing a data product to device the optimal energy allocation in Minning facilities reducing the cost of R$1,000,000.00 per year using R. My primary programming language is Python, and I have expertise working with data engineering tools in the AWS environment, like Spark, Airflow, Redshift, EMR, Kinesis, and Lambda. My greatest passion is working with projects that can challenge me and make me a better developer
Vetted Data engineer in Brazil (UTC-3)
With over 25 years of experience in the software industry, I am a data modeling expert who facilitates cutting-edge solutions for data integration and analytics. I have developed and honed my technical skills as a data modeler, data architect, PL\*SQL developer, SQL developer, and project manager, working with diverse and complex data sources such as databases, flat files, Oracle, and others. Currently, I am providing data modeling and ETL/ELT services to Nestlé USA through Code 17 TEK and Tiger Analytics, two leading data analytics companies. My role involves creating and managing structured data for the integration of several different applications and enabling the business to make evidence-based decisions. In previous positions, I have led and supported large data projects in various fields such as lubes, energy, fare management, GPS/GPRS tracking systems, CRMs, construction, and others. I have also acquired good communication skills, working with teams around the globe such as Germany, Vienna, Abu Dhabi, Canada, India, and the US.
Vetted Data engineer in Brazil (UTC-3)
Expert Data engineer with solid experience in Cloud, data management and data governance. Versed and experient on building complex data structures for smooth data flow, ETL and Analytics. Hands-on expertise on Python, AWS, Spark, SQL, Git (Bash) and increasingly improving my knowledge on new data tools. Background on business and management, colaborative, organized and great learner.
Vetted Data engineer in Brazil (UTC-3)
As a senior software engineer at BairesDev, I work with the Pinterest's team on trust and safety internal projects, using Python/Django and DevOps skills to build and maintain tools that support and respond to policy violations and other incidents. I have been a software developer since 2002, with over 4 years of experience at BairesDev, where I have contributed to various web applications for clients in different industries and markets. Before joining BairesDev, I was a senior software engineer at Razorvision Consulting, where I worked with the Katapult's team on their LMS platform, supporting their expansion in the sub-prime consumer market. I also owned Kanu Digital, a company that served B2B clients with web development and consulting services, using technologies such as Django, Joomla, Wordpress, CI/CD, unit testing, integration testing, React, and VueJs. I have a bachelor's degree in system analysis and development from Universidade Católica de Goiás, and I am fluent in English, Portuguese, and German. My mission is to create and deliver solutions that make a positive impact on people and society.
Vetted Data engineer in Brazil (UTC-3)
Experienced data engineer specializing in data pipeline automation and cloud-based architectures. Proficient in designing, optimizing, and maintaining ETL/ELT workflows using modern data stacks. Skilled in integrating diverse data sources, ensuring data quality, and enabling data-driven decision-making. Expertise: Python, SQL, Airflow, ETL/ELT, Data Pipelines, GCP (BigQuery, Cloud Storage, Cloud Functions), Dataform, Metabase, Data Warehousing, API Integrations, Data Scraping
Vetted Data engineer 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.
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Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance data engineers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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 engineer, 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 engineers can help keep your website up-to-date.
To hire a data engineer, 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 engineers effectively and efficiently. Hire full-time data engineers 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 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 data engineers.
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 engineers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire data engineers 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 engineers 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 engineers, consider niche platforms like Arc that naturally attract and carefully vet their data engineers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote data engineers.
Some factors to consider when you hire data engineers 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 engineers for hire.
Writing a good data engineer job description is crucial in helping you hire data engineers 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 engineer 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 engineers, read our Engineer Job Description Guide & Templates.
The top five technical skills data engineers 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 engineers 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 engineers to keep up with evolving technology and requirements.
You can find a variety of data engineers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance data engineers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote data engineers 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 engineers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled data engineers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire data engineers.
Every data engineer 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 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted data engineer 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 engineers, 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 engineers, you can rest assured that all remote data engineers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote data engineers before we present them to you. As such, all the remote data engineers 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 engineer in 72 hours, or find a full-time data engineer 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 engineers.
Depending on the freelance developer job board you use, freelance remote data engineers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find data engineers 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 engineers 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.
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 engineer’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 engineers, check out our FAQs page.