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Data Engineering developer in Denmark (UTC+2)
Have worked on large assignments of Domain Driven Design, Event Driven architecture journeys and deployment using Confluent Kafka I am Confluent Certified Kafka Developer and Certified SAFe DevOps Practitioner
Vetted Data Engineering developer in Denmark (UTC+1)
Experienced Salesforce Technical Architect/Developer with 13 certifications and a successful 7- year track record in diverse Salesforce implementations, covering Sales, Service, Experience, Marketing, Health Cloud, and CPQ across various industries such as Healthcare, Hospitality, Manufacturing, and Retail.
Vetted Data Engineering developer in Denmark (UTC+1)
I believe that you should fall in love with the problem, not the solution. Currently lecturing at Copenhagen Business School & Danish Institute for Studying Abroad where I hope to make an impact on the future generation of programmers. In my full-time position, I lead a Machine Learning team and I am striving to continuously learn and build upon my existing skills while sharing as much knowledge as I can. I am outspoken, not afraid to challenge the status quo, and love collaborating with others to lift projects to the next level. When I am not working you will find me cooking for friends, learning a new skill, or traveling somewhere I have not been yet.
Data Engineering developer in Denmark (UTC+1)
I'm a dedicated mathematical engineer with a strong drive for algorithm development, digital signal processing, and machine learning. My focus includes leveraging these skills in audio-digital signal processing, particularly within sound enhancement for automotive solutions, radar systems, and broader applications in applied mathematics. Furthermore, I bring logical thinking, robust modeling, and proficient programming abilities in: • Python, • MATLAB, • C, to develop, test, and implement high-level mathematical algorithms.
Data Engineering developer in Denmark (UTC+2)
I’m a curious business-minded data scientist by education turned data engineer by experience with 12 years of experience in solving real-world problems with data. More than two years of experience in the banking sector helped me learn better the data domain and what’s critical in the banking business. My valuable experiences include balancing teamwork and being independent, intercultural and interpersonal communication skills and learning new skills quickly.
Data Engineering developer in Denmark (UTC+2)
I am a Senior Site Reliability/DevOps Engineer with expertise in cloud security, AWS and Azure resource management, CI/CD pipeline development, monitoring, and integration of 3rd party services. My experience spans various tech companies.
Vetted Data Engineering developer in Denmark (UTC+2)
Constantin is the Swiss Army Knife of software development with 10+ years of experience in mobile and web full-stack development. He translates beautiful designs into efficient code, creating exceptional user experiences. Constantin takes a pragmatic approach and is known to be the man for the hard and rough jobs. He works efficiently and takes pride in delivering high-quality work on time.
Vetted Data Engineering developer in Denmark (UTC+1)
**Hi, Mads here!** I love software development and I want to help you feel the same way, no matter if you're * overwhelmed with work and need an extra set of hands, * need an extra set of eyes to find the bug that is driving you crazy, * or just can't find heads and tails in some tricky language feature or technology. I'm a backend developer with +3 years of experience building out the SaaS infrastructure of startups and scaleups, with scalable microservices and CICD. I also have extensive experience with data processing pipelines. Above all else, I take pride in writing code that is clear, efficient and readable. _Do unto others as you would like them to do to you._
Data Engineering developer in Denmark (UTC+2)
I am a dedicated Full Stack Developer with over 15 years of experience in software development, based in Nyborg, Denmark. My career journey has taken me from freelance work to leadership roles, including a position as the Chief Technology Officer at Utter IVS in Copenhagen, Denmark. I am skilled in debugging, bug fixing, application development, and workflow management. With a strong educational background in Communications Engineering, I am passionate about leveraging technology to create innovative solutions. In my next role, I aspire to continue contributing my technical expertise to projects that push the boundaries of web development.
Data Engineering developer in Denmark (UTC+1)
The critical and innovative thinking of DevOps and Cloud-Ops Infrastructure Engineering with extensive understanding of high availability architecture design and concepts. Purpose-driven professional with the capacity to be a strong team player and work effectively independently.
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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.