Your trusted source for top remote Data Engineering developers — Perfect for startups and enterprises.
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Vetted Data Engineering developer in Colombia (UTC-5)
I am passionate about technological challenges and projects with multidisciplinary teams that involve the usage of data to develop and deploy solutions that optimize decision-making for organizations and people. During 4 years working as Data Engineer, I had the opportunity to lead teams to built data products as batch ETL/ELT data pipelines for data lakes and data warehouses, creating data models to provide valuable, clean and consumable information, deploying machine learning models to be consumed through APIs served in serverless cloud functions and implementing infrastructure as code to automate pipelines deployment, using CI/CD practices through Github Actions, setting monitoring and alerting to seek continuous and incremental improvement.
Vetted Data Engineering developer in Colombia (UTC-5)
I am a goal-oriented professional with an outstanding capacity to develop new tools and technologies. I am fully confident in my abilities to creatively solve the different challenges a company may present through innovation and teamwork. As a modern engineer, I truly believe in the power of data and information technologies to help companies take better decisions and provide great solutions, positively impacting on each of their processes. As Technical Lead, I have been able to design, execute and successfully deploy end-to-end Machine Learning solutions for different kinds of industries: Financial, Retail, Mining, and Transport, adding great value to their operations
Vetted Data Engineering developer in Colombia (UTC-5)
Senior DataScientist and Data engineer with 7+ years experience in designing, developing, testing, and supporting enterprise data products in development and production environments for Publicis Group, one of the largest advertising companies in the world, and currently Disney. Skilled in cloud engineering, cloud databases, data warehousing, database design, requirements gathering, data product QA, and data pipeline design. Knowledge of EDA and modeling techniques for mlops, principally recommendations systems and deep learning pipelines.
Vetted Data Engineering developer in Colombia (UTC-5)
Experienced CBIP (Business Intelligence and Data Management) certified Senior Data/Business Intelligence Analyst with over a decade of experience in analyzing and modeling large amounts of data. Possesses hybrid skills in data and IT technology, analytic, software engineering and business skills, and specializes in Credit Risk Management. Is a fast learner and detail oriented analyst who likes to collaborate with multidisciplinary teams. Is an analytical and strategic thinker who is also a team player. Possesses the ability to visualize issues in a broader context, propose and implement brilliant solutions. Is passionate about new technologies and develops his Data Science skills in order to help the business reach its goals by transforming data into strategies and fostering a culture of data throughout the company. Possesses advanced knowledge of SQL, Data Warehouse and Excel knowledge. Specialties: SQL | Data Mining | Business Analysis | Data warehouse | Data Integration | Credit Risk
Vetted Data Engineering developer in Colombia (UTC-5)
8+ Year of Information Technology experience in Business Analysis, Data Modeling, Data Architecture, Data Warehousing, NoSQL and Business Intelligence. Able to deliver management vision, goals, priorities, design principles, and operating policies in support of the business goals of the organization. Extensive experience in multiple full life cycle development projects (Including enterprise and DW/BI) including gathering business requirements, analysis of source systems, design Data Strategies for both transactional/operational and dimensional/analytical system requirements**.**
Vetted Data Engineering developer in Colombia (UTC-5)
Computer and Systems Engineer from Cúcuta, Colombia. passionate about software engineering, software architecture and data processing through scalable and cost effective data pipelines. Was able to grow alongside Chiper's data architecture, starting alone as a Data Engineer Junior and becoming Data Engineering Manager in charge of a young team that is able to probide valuable and clean information at scale, looking for the right solutions for the specific big data problem.
Vetted Data Engineering developer in Colombia (UTC-5)
Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).
Vetted Data Engineering developer in Colombia (UTC-5)
Data Engineer with over 8+ years in Data Analytics including 3+ years of experience in Data Engineering. Strong skills working in data analytics solutions including batch and streaming. Experience working as a consultant for fortune 500 companies and deep technical level in solution design and development. Expericence as Data Engineering Lead.
Vetted Data Engineering developer in Colombia (UTC-5)
Passionate Engineer with 10 years of experience working for technology departments in different markets and companies, currently focused on all kinds of Data related projects with 3 years of experience working with AWS (DynamoDB, Glue Jobs, Athena, S3, EMR, Jupyter notebooks, CloudWatch, Managed Apache Airflow), Spark, Kafka, Python, batch processing, Visualization, descriptive data analysis, etc. I'm always open to learning new ways to do things and I'm constantly involved with improving processes by creating proposals focused on reducing costs, time, or infrastructure resources.
Vetted Data Engineering developer in Colombia (UTC-5)
Statistician and Systems Technician with 12 years of experience, initially in systems and later in analytics. Standing out not only in the capacity of data engineer, data analysis, ML modeling, and discussion of mathematical and/or statistical methods but also in the structural understanding of databases and advanced programming. These skills gave rise to providing an integral vision of the whole phenomena under investigation.
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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.