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139 top Google BigQuery developers available to hire:

Google BigQuery developers in Colombia - Sebastian G.
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Sebastian G.

Vetted Google BigQuery 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.

Google BigQuery developers in Colombia - Rafael V.
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Rafael V.

Vetted Google BigQuery developer in Colombia (UTC-5)

Software engineer with experience in creating and optimizing technological solutions, focused on improving process efficiency and application performance. Throughout my career, I have had the opportunity to work with various technologies such as Java, C#, ASP.Net, SQL Server, PostgreSQL, MySQL, and microservices architecture. I am passionate about designing scalable and efficient software solutions that transform complex requirements into reliable applications, helping to improve business operations and drive innovation. My focus is on combining software engineering with best development practices to optimize processes, enhance performance, and deliver maintainable, high-quality code.

Google BigQuery developers in Colombia - Sebastian C.
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Sebastian C.

Vetted Google BigQuery 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.

Google BigQuery developers in Colombia - Paula O.
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Paula O.

Vetted Google BigQuery developer in Colombia (UTC-5)

Industrial engineer, specialist in strategic innovation management with 4 years of experience in data governance, data analysis and data engineering processes. I have a keen interest in the field of data visualization and giving common sense to complex information. Characterized for being a focused, organized, and dynamic person with big capacities for adaptation, leadership and reaching proposed goals.

Google BigQuery developers in Colombia - Carlos O.
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Carlos O.

Vetted Google BigQuery 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).

Google BigQuery developers in Colombia - Juan S.
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Juan S.

Vetted Google BigQuery developer in Colombia (UTC-5)

Software Engineer with experience working on backend development in Java & Spring Framework. I've worked with different cloud technologies from GCP and AWS. Experience with relational databases such as PostgreSQL, MySQL, and no SQL such as MongoDB. I consider myself a team player, and I'm always looking for the best ways to overcome a problem and thinking about the future implications of these decisions. I'm interested in working with cloud-based applications with java-spring and willing to learn new programming languages.

Google BigQuery developers in Colombia - Victor J.
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Victor J.

Vetted Google BigQuery developer in Colombia (UTC-5)

Software developer with 10+ years of experience designing and developing using several programming languages with a specialty in Java and NodeJs, with solid experience in cloud-native and service-oriented solutions. I have modified dozens of open source projects to achieve customized solutions, if there is no documentation for something I want to do, I find out by looking at the source code of similar projects.

Google BigQuery developers in Colombia - Orlando V.
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Orlando V.

Vetted Google BigQuery developer in Colombia (UTC-5)

I'm a Backend Software engineer with 4 years of experience with a focus on Scala, JVM languages and functional programming, i led the development of a VoIp service provider managment system and i also have experience with insurance software and business model.

Google BigQuery developers in Colombia - Daniel R.
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Daniel R.

Vetted Google BigQuery developer in Colombia (UTC-5)

I am a software developer with four years of experience, passionate about building efficient, scalable, and maintainable technological solutions. I have experience working in the software industry as a backend developer using technologies such as Node.js, cloud services, SQL and NoSQL databases, RESTful APIs, SOAP, and Docker, among others. I also have experience in frontend development technologies, especially in React. I am a person who enjoys working in teams and has a real disposition to work together with the team to build the best solutions that solve business needs.

Google BigQuery developers in Colombia - Miguel G.
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Miguel G.

Vetted Google BigQuery developer in Colombia

Highly skilled young professional seeking a job as a freelance/part-time job related to Data Science and AI. Believe my knowledge and skills ability to solve problems with a quantitative found that can connect with quantitative arguments. Can develop new algorithms, data pipelines, run experiments as well can solve problems analytically. Competencies include being attentive to details, and the ability to express ideas clearly within the team. I am a team player and problem-solving-oriented. I am open to working as a contractor to reduce the risk and cost of hiring me for remote international positions. For more CV information consult LinkedIn page.

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Why clients hire Google BigQuery 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 Google BigQuery 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 Google BigQuery 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 Google BigQuery developers can help keep your website up-to-date.

How do I hire Google BigQuery developers?

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

Where do I hire the best remote Google BigQuery developers?

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

Some factors to consider when you hire Google BigQuery 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 Google BigQuery developers for hire.

How do I write a Google BigQuery developer job description?

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

What skills should I look for in a Google BigQuery developer?

The top five technical skills Google BigQuery 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 Google BigQuery 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 Google BigQuery developers to keep up with evolving technology and requirements.

What kinds of Google BigQuery developers are available for hire through Arc?

You can find a variety of Google BigQuery developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google BigQuery developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google BigQuery 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 Google BigQuery 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 Google BigQuery developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google BigQuery developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google BigQuery developers.

Every Google BigQuery 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 Google BigQuery 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 Google BigQuery developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google BigQuery 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 Google BigQuery 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 Google BigQuery developers, you can rest assured that all remote Google BigQuery 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 Google BigQuery developers on Arc?

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

How much does a freelance Google BigQuery developer charge per hour?

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

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 Google BigQuery 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 Google BigQuery developers, check out our FAQs page.

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