Your trusted source for top remote Data Engineering developers — Perfect for startups and enterprises.
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Vetted Data Engineering developer in Saudi Arabia (UTC+3)
I have experience in a wide range of classical machine learning and more recent deep learning algorithms and have developed machine learning solutions to problems in multiple domains. My experience primarily comprises developing models for time series predictions and anomaly detection based on signal processing and machine/deep learning algorithms. Biomedicine, finance and transportation are the major domains I have worked during my academic and professional career. I have also worked as a freelance developer with local startups in computer vision and financial domains and have developed production-ready deep learning models. Since august 2017, I am working as a data scientist developing data-driven solutions for our clients including include KT, ETRI, Seoul Metropolitan Govt. amongst others.
Vetted Data Engineering developer in Saudi Arabia (UTC+3)
Accomplished **Senior Software Engineer and DevOps** Specialist experienced in designing, deploying, and managing corporate tools. Expertise in translating complex business requirements into secure, scalable solutions while prioritizing quality, usability, security, and scalability. Strong background in streamlining processes, optimizing infrastructure, and fostering collaboration across teams.
Data Engineering developer in Saudi Arabia (UTC+3)
I am a Java Microservices Developer with 5 years of experience in Riyadh, KSA. I have expertise in Java, Spring Boot, Hibernate, AWS, Docker, Kubernetes, and have developed various integration applications.
Data Engineering developer in Saudi Arabia (UTC+3)
Amr ElBaz is Software Engineer who's always ready for new challenges and eager to deal with different cultures all over the world. He is working primarily with Java, Spring Frameworks, DevOps, Agile, and AWS with a passion for Web Development, problem-solving. He has a demonstrated history of working in eCommerce and telecommunication industries.
Vetted Data Engineering developer in Saudi Arabia (UTC+3)
A Senior Full Stack guru who is expert at everything Javascript. From Html to backend and anything between and From bare metal to Serverless to cloud. - AWS Certified Developer and Solutions architect. Built a startup from scratch and exited with 7 figures (USD). Scaled another startup to cover 10 cities using Google Serverless Architecture (with Zero efforts). In short I am a mix of 80% technical hands-on and 20% business/startup thinking. Solid background in Computer Science and Engineering. Over a decade of experience in Software Engineering with various programming languages, business domains."
Data Engineering developer in Saudi Arabia (UTC+3)
+8 years of hands-on experience in various technology roles, I bring a wealth of expertise to the table. As a Software Product Manager, I lead end-to-end software development, while my Senior ERP Development, Consultant, and System Analyst roles showcase expertise in optimizing processes through ERP systems. Proficient in ERPNext, I've enhanced core operations, and as a Big Data Researcher, I extract insights from extensive datasets. My expertise in Machine Learning (ML) and Deep Learning (DL) underscores my commitment to cutting-edge AI. In summary, my diverse roles reflect a passion for innovation and leveraging technology to drive transformative impact. Also, I enjoy being challenged and engaging with projects that require me to work outside my comfort and knowledge set, as continuing to learn new languages and development techniques are important to me. My background and skills. A few I would like to highlight that would enable me to contribute to your bottom line are: * Highly skilled in designing, testing, and developing ERPNext Systems. * Nginx and Linux Server administration. * Hands-on Linux server troubleshooting experience * Thorough understanding of data structures and algorithms * Working under an agile software development environment * Knowledgeable of back-end development best practices
Data Engineering developer in Saudi Arabia (UTC+3)
Passionate Flutter/Android Developer with a flair for creating seamless and visually appealing user experiences. Leveraging a strong foundation in UI/UX design, I bring innovation and functionality to life through my code.
Data Engineering developer in Saudi Arabia (UTC+3)
Experience Senior infrastructure engineer responsible for designing, building, deploying, and maintaining the IT infrastructure using the latest technology, ensures all the IT systems that support businesses of any size to function efficiently working. Monitoring daily server traffic and system usage, adjusting software configurations, providing system administration functions for local and remote systems, repairing corrupt SQL databases, involved in production configuration, management and control processes, Installation, and configuration of SQL Server, setting up Database Mirroring with Server in SQL server.
Data Engineering developer in Saudi Arabia (UTC+3)
Project Technical Lead in LTImindtree
Data Engineering developer in Saudi Arabia (UTC+3)
I am a software quality assurance engineer and have around 5 years of industry experience. I have experience of testing desktop, web and a few mobile applications. I have worked on manual testing as well as automation testing. I have confidence in self-learning and staying persuaded all an ideal opportunity to do new and positive things. Having a long term goal of moving in to the field of Project Management.
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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.