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Vetted data engineer in Brazil (UTC-3)
Data Engineer with 6+ years of experience in Python, Scala, and SQL. Proven ability to design and implement data pipelines for real-time analytics, with a focus on deploying machine learning projects using technologies such as Python, TensorFlow, and Pandas. Expertise in technologies like MS SQL Server, Databricks, Snowflake, and PostgreSQL. Experience in utilizing APIs and use of ML to improve the decision-making processes within Financial, Telecommunications, industrial, Adtech, and Edtech sectors. Demonstrated capacity to operate in medium and high-criticality environments, driving projects that significantly improve operational efficiency and intelligence.
Vetted data engineer 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
Vetted data engineer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.
Remote data engineer in Brazil (UTC-3)
Senior Data Engineer with over 8 years of experience in data engineering and solution architecture for Big Data, data lakes, and cloud computing (AWS, Azure, GCP). Extensive experience with Snowflake, Databricks, and Spark, optimizing data pipelines and storage scalability to achieve significant improvements in efficiency and processing speed. Proven expertise in technical leadership and data strategy implementation, resulting in cost reductions exceeding 50% and productivity gains of up to 5x. Driven to transform data into valuable insights and collaborate with teams to develop robust, scalable data solutions.
Remote data engineer in Brazil (UTC-3)
With a strong foundation in data and an enduring passion for technology, I help companies unlock the full value of their data by building scalable, intelligent, and cloud-native solutions. I've led data transformations across multinational and national organizations, always focused on delivering measurable business impact. I specialize in designing end-to-end data workflows—from ingestion and modeling to advanced analytics and visualization. My toolkit includes modern cloud platforms (Azure, AWS, GCP), powerful languages (Python, R, PySpark), and top-tier tools like Power BI, Snowflake, dbt, Airflow, and Databricks. In past roles, I’ve: Engineered predictive models that improved decision-making and cut operational costs. Migrated legacy pipelines to modern architectures (Lakehouse, Spark), reducing processing time by up to 40%. Automated reporting with AI and LLMs, enabling data-driven actions at scale. 🔧 Main Skills • Python, R, SQL, PySpark • Power BI, MySQL, SAP • Databricks, dbt, Snowflake, Apache Airflow, Kafka • Hadoop, Azure, AWS, GCP • Machine Learning, Generative AI (LLMs) • Data Engineering & Orchestration • Data Lakehouse, ETL/ELT, Data Modeling • CI/CD, Git, Agile & Waterfall I’m deeply committed to continuous learning, mentoring, and staying ahead of emerging tech trends. You can explore some of my insights and case studies here: 📂 medium.com/@alexsander.silveira1 Let’s connect and explore how we can build smarter, faster, and more impactful data solutions together. 📧 Alexsander.Silveira11@outlook.com
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Arc offers pre-vetted full-time and freelance developers skilled in every programming language, framework, and technology. Look through our popular remote engineer 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 professionals 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.