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4,533 Remote Google BigQuery developers and experts available to hire:

Google BigQuery architect - Anurag T.
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Anurag T.

Vetted Google BigQuery developer in the United States (UTC-7)

10+ years of experience as a Data Engineer and Data Analyst. Experience in leading data projects, data modeling, architecting data frameworks, and creating ETL/ELT data pipelines. Python, SQL, Scala, Databricks, Airflow, AWS, Spark, DBT, Google Cloud Platform

Google BigQuery coder - Taylor G.
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Taylor G.

Vetted Google BigQuery developer in the United States (UTC-6)

**Senior Full Stack Engineer** with **5+ years** experience, specializing in **React, JS/TS, Node, Python, Django, and SQL,** + a wide range of other experience including **Go, GraphQL, AWS, Google BigQuery, and plenty else.** Culture-wise I try to make my co-workers' lives easy, building professional and enjoyable relationships. When leading projects I embrace empowering leadership principles. I live in Elizabeth Colorado with my wife and cat. When I'm not working I might be working on a pet project like my Baseball Manager AI app, tinkering around the garage, watching a movie, or playing a video game.

Google BigQuery developer - Romy M.
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Romy M.

Vetted Google BigQuery developer in the United States (UTC-4)

**Front End Developer with 4+ years of experience building scalable, high-performance applications.** Proficient in **React, TypeScript, and JavaScript**, with a strong focus on **UI/UX, performance optimization, and maintainability**.

Google BigQuery engineer - Joshua M.
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Joshua M.

Vetted Google BigQuery developer in the United States (UTC-4)

Experienced data engineer with extensive healthcare experience able to bridge the divide between IT and business operations to implement cutting edge solutions that deliver real value

Google BigQuery architect - ceyhun K.
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ceyhun K.

Vetted Google BigQuery developer in Turkey (UTC+2)

Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.

Google BigQuery expert - Aris N.
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Aris N.

Vetted Google BigQuery developer in the United States (UTC-4)

Senior Full Stack Engineer with * 10+ years experience in Python * 4+ years in PostgreSQL * 2+ years in AWS DevOps * 2+ years in TypeScript (NextJS) * 2+ years in Generative AI Designed and implemented 1. a WhatsApp chatbot, powered by Generative AI, named [Llanai](https://llanai.com/) in Docker hosted by AWS 2. directories using NextJS and Supabase ([HotSpringsList](https://hotspringslist.com/), [UVRating](https://uvrating.com/)) 3. NoCode video editor, [CreateQuizVideo](https://createquiz.video/), using Remotion, NextJS, and Supabase 4. A high traffic language [learning game](https://grake.me/) using white hat SEO tactics Subject matter expertise in integrating LLM & Data Engineering in Full Stack web apps. Also 10 years of startup experience in Biotech & Water Treatment.

Google BigQuery developers developer - Aris N.'s portfolio image
Google BigQuery developers developer - Aris N.'s portfolio image
Google BigQuery developer - Claudio O.
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Claudio O.

Vetted Google BigQuery developer in Canada (UTC-6)

Highly qualified, tenacious, and well-accomplished IT professional. Fast learner, problem-solver with can-do attitude,willing to deliver high quality software. Armed with broad-based background and skills in the areas of providing appropriate solution to IT and software needs. Outstanding ability to plan, coordinate, implement strategic development practices and client business transformation procedures to bring significant improvements in efficiency, productivity and technical processes, towards the successful attainment of organizational goals. ➢ Experience in Single Page App using AngularJs, NodeJS and MongoDB; ➢ Experience in developing responsive apps. ➢ Experience in Environment Linux ➢ Working with agile methodologies since 2010. ➢ Experience with specialized systems for Engineers

Google BigQuery expert - Helena W.
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Helena W.

Vetted Google BigQuery developer in the United States (UTC-4)

I am an ex-Coinbase data analyst and growth marketing manager with deep experience building growth loops and models for both startups and public companies based on product/customer data. I also have led growth marketing at Teal and Examine.com and have grown revenue by debugging AARRR funnels, bridging both technical and qualitative aspects of marketing analytics and strategy. The startup world has always been a fun and exciting stage for me, and I hope to find ambitious founders to consult for and help them overcome their product and marketing blockers to reach the next stage of profitable growth. With expertise in SQL, JavaScript, Python, and more, and comfort setting up Meta pixels and conversion API, I act as a single expert deploying code, analyzing funnels, and building data reports and post-mortems for marketing campaigns.

Google BigQuery architect - Daniel T.
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Daniel T.

Vetted Google BigQuery developer in the United States (UTC-4)

Visionary software engineering leader and architect with over 15 years of experience driving technological innovation, leading high-performing teams, and architecting scalable AI-driven platforms. Proven track record of successfully integrating cutting-edge AI technologies, such as OpenAI APIs, DALLE, and GPT-4, to create transformative SaaS solutions. Skilled in strategic planning, team building, and delivering complex software projects that leverage machine learning and natural language processing. Passionate about fostering a culture of continuous improvement and innovation, with a strong focus on harnessing the power of AI to revolutionize industries. Seeking a challenging role as a CTO or VP of Engineering to lead the development of groundbreaking AI products and guide organizations to the forefront of technological advancement. **Key Achievements** * Built an AI-driven SaaS application that generates creative ad copy and images using OpenAI's API, GPT-4, DALL-E 3, and a proprietary algorithm, taking the project from concept to launch.  * Scaled a health-tech SaaS platform 100 times, from 4K to 400K+ users within one year, by leading a 12+ person cross-departmental team and leveraging AI-powered personalization and automation.  * Reduced infrastructure costs by 30% and improved stability by architecting a microservices based platform on Google Cloud Platform (GCP), incorporating AI-driven optimization techniques.

Google BigQuery programmer - vijay T.
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vijay T.

Vetted Google BigQuery developer in the United States (UTC-5)

· Over **17+ years** of experience in **Data Engineering, Data Migration ETL/ELT Quality and Testing**using large structured and unstructured datasets · Experience in **financial Banking, Retail, Energy and Payroll** domains · Experience in **Integration, Functional, Regression, System Testing, Load Testing, UAT Testing and GUI testing**. · Excellent working knowledge of **System Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC) and Defect Life Cycle (DLC).** · Experienced in working with cloud-based technologies such as **AWS, Snowflake,GCP, IBM Tririga SuccessFactors** to design, develop, and implement data management solutions · Experienced in ETL tools like IBM data stage, **SAP BODS, Alteryx, Informatica** · Skilled in developing ETL/ELT processes to extract, transform, and load data into data warehouses and data lakes · Experience in migration process **SAP, Oracle, Teradata, DynamoDB and DB2 systems** · Expertise in writing **Data quality rules using SAP information stewards** · Expertise in developing **data pipelines** · Experienced in leveraging **data visualization tools such as Tableau and Power BI** to create insightful dashboards · Excellent problem solving and **analytical skills, with the ability to identify and resolve data related issues quickly and effectively** · Experience in **creating test data for validations** · Experienced in **Agile Methodologies, CI/CD pipeline to build, develop and automate process**

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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 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 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 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 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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