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Top Google BigQuery developers available to hire:

Google BigQuery developers in Chile - Daniel M.
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Daniel M.

Vetted Google BigQuery developer in Chile (UTC-3)

Experienced in backend development, project leadership, and process automation. Skilled in building APIs, enhancing workflows, and delivering solutions aligned with client goals. Currently advancing in data science, focusing on data-driven projects. Proficient in AWS, GCP, and diverse tools, ensuring scalable and adaptable solutions across different industries.

Google BigQuery developers in Chile - Andres V.
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Andres V.

Vetted Google BigQuery developer in Chile (UTC-3)

I am a (MSc) Engineer specialized in Computer Vision with a strong empirical mastery in the field of applied data science (see the papers section). My focus is on developing efficient and agile solutions, using an analytical and proactive approach to tackle complex challenges in the field of computer vision. My self-taught ability and commitment to responsibility allow me to quickly adapt to the latest innovations in this constantly evolving area.

Google BigQuery developers in Chile - Pablo S.
Pablo S.

Google BigQuery developer in Chile (UTC-3)

Senior Software Engineer with over 20 years of experience creating & leading several startups with products from idea to deployment. I identify myself as an IT inventor, Fullstack, with knowledge of different languages and frameworks. Currently I have a preference for NodeJS + Typescript, but I'm also skilled on Python, Java & Ruby,

Google BigQuery developers developer - Pablo S.'s portfolio image
Google BigQuery developers developer - Pablo S.'s portfolio image
Google BigQuery developers developer - Pablo S.'s portfolio image
Google BigQuery developers developer - Pablo S.'s portfolio image
Google BigQuery developers developer - Pablo S.'s portfolio image
Google BigQuery developers in Chile - Erwin D.
Erwin D.

Google BigQuery developer in Chile (UTC-3)

Experienced Lead Architect specializing in ETL solutions on MultiCloud platforms (AWS, GCP, AZURE) Expertise in designing, deploying, and managing Cloud architectures using CloudFormation and Terraform (IaC). Skilled in pipeline orchestration with Apache Airflow, implementing serverless solutions, and leveraging services for data visualization and real-time streaming. Proven track record in DevOps practices, CI/CD pipelines, and leveraging Generative AI technologies through prompt Engineering techniques. Key Skills: AWS Architecture Design CloudFormation & Terraform Apache Airflow Orchestration AWS Serverless Solutions (Lambda, Glue, Athena) Data Visualization (QuickSight) Real-time Streaming (Kinesis, Firehose) DevOps (CI/CD, Jenkins, BitBucket) Generative AI: LLM, LangChain, Ollama, Copilot, OpenAI - Advance Prompt Engineering Knowledge Containerization (AWS ECS, EKS) Dev Quality (SonarQube) & Monitoring (Splunk)

Google BigQuery developers in Chile - Fran C.
Fran C.

Google BigQuery developer in Chile (UTC-3)

Project management: Defining project scope, standards and monitoring (E2E). Prioritisation and selection of projects by Quarter. Prioritise under planning sessions each quarter (April - Aug - Dec) the projects to be worked on in order to contribute to the company's strategy. Allocation and management of resources: Allocate and lead the human and systemic resources to the improvement of the projects. Periodic review of project development and strategic compliance. Budget analysis and management: Financial reporting, resource utilisation, allocation and management of project budgets (ROI, CAPEX and OPEX). Reporting: Update and create real time reporting to measure and review project progress and success measures (MoS, KPI, OKR) (In Falabella there were 3 different measures). Communication: Communicate clearly and in a timely manner to stakeholders about progress, impediments, project issues. Work collaboratively with development, product and UX teams to implement new features to improve the seller's journey. Agile Methodology: Implemented Agile methodology and/or raise awareness of the use of ceremonies and agile work in the different cells. Drive E-commerce progress (Systems): Monitor and correct errors in Ecommerce enabled systems (VTEX / WOOCOMMERCE, ETC). Lead the user interface (UI) and the seller's user experience.

Google BigQuery developers in Chile - p G.
p G.

Google BigQuery developer in Chile (UTC-3)

Software Engineer over two decades of expertise in Full Stack Development and a diverse skill set spanning multiple programming languages including C++, Go, Python, JavaScript, and SQL. Proficient in various areas of computer science, with in-depth knowledge of databases, Linux, data science, and Windows ecosystem services. Recognized for delivering innovative solutions and driving project success through efficient communication and renowned for seamlessly integrating pattern recognition into problem-solving endeavors. Committed to continuous learning and staying abreast of emerging technologies to meet the dynamic demands of the industry.

Google BigQuery developers in Chile - William V.
William V.

Google BigQuery developer in Chile (UTC-3)

Professional with more than 5 years of experience in the Information Technology area focused on the generation of ingestion Pipelines, Analytics modeling, visualizations and dashboards, and data infrastructure management. Looking for a new challenge in which to apply my knowledge and experience as an Engineer.

Google BigQuery developers in Chile - Gerardo D.
Gerardo D.

Google BigQuery developer in Chile (UTC-3)

Tech-loving programmer, enthusiast of new trends in programming, machine learning, artificial intelligence and optimization. Developing software since 2007 for desktop, web and mobile platforms in various programming languages ​​and databases, some of them I can highlight: \* SQL Server 2005 - 2016 \* C# \* Oracle 10g/11g \* PHP \* MySQL \* ASP .NET (Webforms) and MVC 4 with Razor \* ANSI C device programming for Verifone (Vx510) \* Windows, Linux and Mac OS X user \* Javascript + Typescript \* NodeJS + ExpressJS + SocketIO \* Angular and ReactJS \* Python + Flask + FastAPI \* Python + Sci-Kit Learn (SKLearn) for machine learning \* Python + Genetic Algorithms + Neural Networks Experience in projects oriented to industries of: \* Logistics and distribution \* Monitoring and management of vehicle fleets \* Georeferencing services and integrations with GPS signal receiving devices. \* Marketplace oriented to the construction industry \* Financial services I also have experience in Cloud Based Services with Microsoft Azure (IaaS, PaaS, SaaS), knowledge of NoSQL MongoDB databases (Mongo Atlas and Atlas Search), Elasticsearch (with its ELK stack) Knowledge of Docker (creation of images and containers) and Kubernetes at a basic level. Finally, experience using GitFlow and setting up Build and Release Pipelines with the Azure Devops platform.

Google BigQuery developers in Chile - Ricardo M.
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Ricardo M.

Vetted Google BigQuery developer in Chile (UTC-3)

Master in Information Technology & Software Engineer with more than 14 years of experience. Analytical, assertive, methodical, and organized professional. Solid knowledge of Cloud architectures (IaaS, PaaS, DaaS, NaaS, SaaS, and Serverless service models), focused on design patterns, and great technical expertise in Google Cloud Platform and Microsoft Azure. I love learning and being in challenging environments that invite you to improve day by day.

Google BigQuery developers in Chile - Joaquín G.
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Joaquín G.

Vetted Google BigQuery developer in Chile (UTC-3)

I am a certified Scrum Master and Scrum Developer with experience in full stack development, AWS consulting, and team leadership. I have worked on software development projects using Ruby on Rails, React, and various AWS services. I have also led the development department and managed serverless functions on AWS. Im a solution architect certified working with different AWS Services since 2017

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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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