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Data Engineering developer in Chile (UTC-3)
Rafael Noriega is a Computer Engineer with over Nine years of experience in the field. Throughout his professional career, he has been involved in diverse projects and challenges, assuming key roles such as Software Engineer, Data Engineer, and Data Architect. He possesses extensive proficiency in programming languages like Java, Python, and JavaScript (Node.js). In recent years, he has taken on prominent roles as an Architect and Data Engineer, leading the development of end-to-end solutions for clients with complex data requirements. Apart from his technical expertise, Rafael excels in time management, planning, and crafting solution proposals. He demonstrates a profound grasp of crucial concepts, including Airflow, Cloud APIs, and Data Processing Frameworks, enabling him to deliver efficient and effective data solutions. His results-oriented approach and ability to comprehend client needs make him valuable for any data-related project.
Data Engineering developer in Chile (UTC-3)
Experienced Lead Architect specializing in ETL solutions on MultiCloud platforms (AWS, GCP, AZURE) Expertise in designing, deploying, and managing Cloud architectures using CloudFormation and Terraform (IaC). Skilled in pipeline orchestration with Apache Airflow, implementing serverless solutions, and leveraging services for data visualization and real-time streaming. Proven track record in DevOps practices, CI/CD pipelines, and leveraging Generative AI technologies through prompt Engineering techniques. Key Skills: AWS Architecture Design CloudFormation & Terraform Apache Airflow Orchestration AWS Serverless Solutions (Lambda, Glue, Athena) Data Visualization (QuickSight) Real-time Streaming (Kinesis, Firehose) DevOps (CI/CD, Jenkins, BitBucket) Generative AI: LLM, LangChain, Ollama, Copilot, OpenAI - Advance Prompt Engineering Knowledge Containerization (AWS ECS, EKS) Dev Quality (SonarQube) & Monitoring (Splunk)
Data Engineering developer in Chile (UTC-3)
Professional with more than 5 years of experience in the Information Technology area focused on the generation of ingestion Pipelines, Analytics modeling, visualizations and dashboards, and data infrastructure management. Looking for a new challenge in which to apply my knowledge and experience as an Engineer.
Vetted Data Engineering developer in Chile (UTC-3)
I am interested in Observatory Operations, Data Analysis and Data Science. Currently working at the Atacama Large Millimeter/Submillimeter Array Observatory (ALMA), where I spend my time as Astronomer on Duty, working in the Dynamical Scheduling Algorithm Subsystem (in different roles), and lately a leader of the ALMA Data Science initiative. What are my contributions? I'm passionate about my work, always looking to improve our tools and processes, but also aware of my limitations, what drives me to start collaborations with people or teams that have the expertise, instead of trying to reinvent the wheel. ALMA has taught me the value of team work, and it has giving me the chance to put to the test the idea of collaboration with Academy and Industry experts. Proud to be one of the Dataiku Neurons!
Data Engineering developer in Chile (UTC-3)
Ingeniero en Informática con +15 años de experiencia en área de Tecnología para empresas nacionales y multinacionales del rubro financiero y telecomunicaciones. Especialista en análisis de datos y visualización, orientado al desarrollo de aplicaciones web y de escritorio. Buenas relaciones interpersonales, orientado a solución de problemas y mejora continua. Perfil analítico con foco en la mejora de procesos.
Vetted Data Engineering developer in Chile (UTC-3)
I'm a software engineer with 7+ years of experience, who enjoys working in high-performance teams and solving complex problems from a business and a technical perspective. I like to design, build, and deploy high-quality software: from understanding users' pains and goals, to architecting solutions and implementing features with clean, easy-to-maintain, and well-tested code. I have experience in leading teams, and so far, I have participated in many different projects, giving me a broad outlook on diverse business contexts and technology ecosystems, which helps me to evaluate tradeoffs for each environment and adapt to them.
Vetted Data Engineering developer in Chile (UTC-3)
Coding since 1985
Vetted Data Engineering developer in Chile (UTC-3)
Enthusiastic Data Scientist and Engineer specialising in Natural Language Processing (NLP). Focus on deploying NLP, LLM and Machine Learning (ML) models into production that deliver value to people and businesses. Additionally, I have expertise in analytics for digital marketing, market research, automating data pipelines, data visualisations, dashboards and building mobile/web apps. I am curious and easy-going. I can work autonomously or in a team, in supporting or leading roles.
Data Engineering developer in Chile (UTC-3)
Experienced senior engineer with an entrepreneurial background. Leader of engineering teams for tech companies in the US and Latam. Recognized innovator, creative, relentless, and resourceful.
Data Engineering developer in Chile (UTC-3)
Software Engineer over two decades of expertise in Full Stack Development and a diverse skill set spanning multiple programming languages including C++, Go, Python, JavaScript, and SQL. Proficient in various areas of computer science, with in-depth knowledge of databases, Linux, data science, and Windows ecosystem services. Recognized for delivering innovative solutions and driving project success through efficient communication and renowned for seamlessly integrating pattern recognition into problem-solving endeavors. Committed to continuous learning and staying abreast of emerging technologies to meet the dynamic demands of the industry.
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Ready to hire your ideal Data Engineering developers?
Get startedArc offers pre-vetted remote software 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 Engineering developers 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 Engineering 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 Engineering developers can help keep your website up-to-date.
To hire a Data Engineering 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 Engineering developers effectively and efficiently. Hire full-time Data Engineering 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 Engineering 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 Engineering 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 Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Engineering 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 Engineering 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 Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Engineering developers.
Some factors to consider when you hire Data Engineering 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 Engineering developers for hire.
Writing a good Data Engineering developer job description is crucial in helping you hire Data Engineering 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 Engineering 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 Engineering developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Engineering 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 Engineering 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 Engineering developers to keep up with evolving technology and requirements.
You can find a variety of Data Engineering 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 Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering 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 Engineering developers 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 Engineering 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 Engineering developers.
Every Data Engineering 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 Engineering 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Engineering 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 Engineering 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 Engineering developers, you can rest assured that all remote Data Engineering developers 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 Engineering developers before we present them to you. As such, all the remote Data Engineering 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 Engineering developer in 72 hours, or find a full-time Data Engineering 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 Engineering developers.
Depending on the freelance developer job board you use, freelance remote Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Engineering 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 Engineering 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.
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 Engineering 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 Engineering developers, check out our FAQs page.