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Top remote Data factory developers and experts available to hire:

Remote Data factory programmer - Felipe R.
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Felipe R.

Vetted Data factory developer in Brazil (UTC-3)

Senior Data Engineer with over 12 years of experience in designing and building data pipelines, data warehouses, and data lakehouses. Highly skilled in AWS, Snowflake, Azure, and other advanced technologies, supporting complex data projects and business initiatives. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills. Technologies: Python, PySpark, AWS (KInesis, Lambda, S3, others), DBT, Spark, Databricks, Airflow Fundamentals Certified, Snowflake, Docker, Azure Certified Data Engineer (Data Factory, Synapse, others), ETL, Salesforce, DBT, Snowpipe, SQL Server, Terraform, Pentaho, SQL Server, Postgresql.

Remote Data factory expert - Andrey H.
Andrey H.

Remote Data factory developer (UTC-3)

I am an experienced Data Engineer, Solutions Architect, and IT Researcher with fourteen years of experience in the computer software industry, and a Master's student of Computer Science focused on Artificial Intelligence at Universidade Federal de Santa Catarina. I've worked designing the architecture on a cost-effective, secure, and scalable data lake implementation and data pipelines for the company’s data using AWS services like S3, Lambda, Redshift, Glue, Step Functions, and Athena. I've also worked on building ETL pipelines using Azure Data Factory, Databricks, and pyspark. In addition, I have experience in projects related to the architecture and development of AWS cloud and on-premise solutions. Backend development I've worked on projects using Python, nodejs, Java, and Delphi. Frontend development I've worked on projects using React. Moreover, I've worked as a software developer in projects related to HR and occupational safety and health. As a researcher, I've worked on logistics projects that included software development, IoT, and optimization algorithms. Also, I've worked on time series analysis and forecasting projects, where I have since dedicated myself to studying data science. My interests are data science, mathematics, algorithms, computer theory and complexity, combinatorial optimization, and full-stack development.

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Why clients hire Data factory developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Data factory developer?

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 factory 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 factory developers can help keep your website up-to-date.

How do I hire Data factory developers?

To hire a Data factory 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 factory developers effectively and efficiently. Hire full-time Data factory 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 factory 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 factory 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 factory developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data factory developers?

There are two types of platforms you can hire Data factory 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 factory 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 factory developers, consider niche platforms like Arc that naturally attract and carefully vet their Data factory developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data factory developers.

Some factors to consider when you hire Data factory 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 factory developers for hire.

How do I write a Data factory developer job description?

Writing a good Data factory developer job description is crucial in helping you hire Data factory 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 factory 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 factory developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Data factory developer?

The top five technical skills Data factory developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 factory 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 factory developers to keep up with evolving technology and requirements.

What kinds of Data factory developers are available for hire through Arc?

You can find a variety of Data factory 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 factory developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data factory 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Data factory developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Data factory developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data factory 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 factory developers.

Every Data factory 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 factory 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.

How does Arc vet a Data factory developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data factory 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 factory 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 factory developers, you can rest assured that all remote Data factory developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Data factory developers on Arc?

Arc pre-screens all of our remote Data factory developers before we present them to you. As such, all the remote Data factory 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 factory developer in 72 hours, or find a full-time Data factory 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 factory developers.

How much does a freelance Data factory developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data factory developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data factory 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 factory 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.

How much does it cost to hire a full time Data factory developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for 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 factory 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 factory developers, check out our FAQs page.

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