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Vetted Data Engineering developer in Colombia (UTC-5)
Juan is an analytical senior-level software engineer with deep expertise in Java, Scala, JavaScript and Python technologies. Possess 9+ year hands-on experience and has the ability needed to design and develop complex software projects for a diverse variety of users. He has worked closely with some of the leading companies in Colombia like Bancolombia, Grupo Sura, Tigo and Universidad Industrial de Santander, adding value in each project developed. He worked at Velocity Partners developing the US hospitality network services for NaviHealth Group. Currently, he is working at PSL as Java/Scala/Python Senior Software Engineer for HERE Technologies developing a brand new Machine Learning as a service platform. Is interested in being involved in the design and development of applications with new technologies and agile teams.
Vetted Data Engineering developer in Colombia (UTC-5)
I am a system engineer with extensive experience in software development, maintenance, and administration. I am willing and eager to learn and improve both personally and professionally and capable of completing the tasks assigned to me. I have the skills required to work in a professional environment individually or as part of a team, always aiming to generate value and quality for the company.
Vetted Data Engineering developer in Colombia (UTC-5)
Data engineer with a background in business intelligence and data science, I am passionate about using data to drive business decisions and improve processes. With experience in designing and implementing data pipelines and ETLs, I am well-versed in technologies such as Azure Data Factory, AWS, Spark, Python, SQL and Git, which I have used to develop and optimize data management and analysis solutions. I also have experience with visualization tools such as Power BI and Tableau, to create interactive and informative data visualizations. I have a track record of collaborating with cross-functional teams to identify and solve data-related problems while ensuring data quality and integrity. I am well-versed in the Scrum methodology and have experience in working with remote teams. I am a skilled problem solver who is always looking for new and innovative solutions to complex data challenges. I am excited about the opportunity to work remotely and contribute my expertise to a dynamic and fast-paced team.
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)
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)
Seasoned Lead Software Engineer with a strong foundation of 12 years of experience in designing and developing distributed systems, and workflow applications featuring Python, Spark, SQL, NoSQL, Big Data stack, and AWS cloud services or Microsoft Azure. Skilled at leveraging Object Oriented Programming semantics, Design Patterns, and Functional Programming concepts to rationalize solutions. Thorough and proven experience in driving sound and efficient solutions applying world trends such as frameworks, libraries, and design approaches with a bias towards functional programming (Python, Scala, Spark, Hadoop). Outstanding team player with a positive attitude to champion delivery of results on time and within budget, having the ability to communicate clearly and effectively when discussing issues with team members and management.
Vetted Data Engineering developer in Colombia (UTC-5)
A results-driven, innovative, customer-oriented, Big Data Architect, Big Data Engineer, and Software Engineer with 15+ years of experience in the Software Industry. Strong in leadership, architecture, design, development, technology research, and problem-solving skills. Expertise in Big Data, Data Engineering, Data Analytics, Data Quality and Profiling, Systems Integration, Software Engineering, Data Lake, Data Warehouse, Relational Databases (PostgreSQL, Oracle, MS-Server) , NoSQL Databases, SQL, Scala, Java, Python, PySpark, C#, Terraform, Databricks, Snowflake, Airflow, Kubernetes, CI/CD (Azure Devops, Gitlab, Github, Bitbucket), AWS, GCP and Azure Data Services, with excellent communication, teamwork, collaboration, and adaptability skills, using industry best practices and agile methodologies.
Vetted Data Engineering developer in Colombia (UTC-5)
software engineer with 4 years of experience designing, implementing, and maintaining resilient, scalable, reliable data architecture and platforms, with two master's degrees, one focused on big data and the other on AI. My CV highlights my achievements in my previous roles. I think we can make a very good match for this position. cheers.
Vetted Data Engineering developer in Colombia (UTC-5)
I have over a decade of experience in the field of data engineering, with a focus on data analysis, business intelligence, and data engineering. In addition to my extensive experience, I am also certified in AWS as a data engineer. Throughout my career, I have utilized a variety of programming languages and tools to build robust data solutions. I am proficient in Python, Pyspark, and Java, and have used these languages to develop complex data pipelines and perform advanced data analysis. Additionally, I have extensive experience working with Redshift and Snowflake and have utilized these tools to implement scalable and efficient data solutions that drive business success.
Vetted Data Engineering developer in Colombia (UTC-5)
I am an experienced data scientist who possesses a strong passion for problem-solving and an unwavering commitment to continuous learning. With a particular focus on data analysis, machine learning modeling, and business strategy, I strive to leverage these domains as powerful tools for structuring, generating, and amplifying impactful solutions. Drawing upon my expertise in data science, I employ advanced analytical techniques to extract valuable insights from complex datasets. Through meticulous interpretation and visualization of data, I uncover patterns that drive informed decison-making.
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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.