Your trusted source for top remote Google BigQuery developers — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Vetted Google BigQuery developer in India (UTC+6)
Dedicated and seasoned Backend Engineer with a proven track record of designing, building, and optimizing Scalable server-side applications. Over 13 years of experience in software development, I am driven by a passion for crafting robust, high-performance systems that drive business success. Seeking a challenging role where I can leverage my expertise in backend development, distributed systems, and problem-solving to contribute to the growth and innovation of a dynamic organization. My goal is to continue pushing the boundaries of technology to deliver elegant, efficient, and reliable solutions that meet and exceed user expectations.
Vetted Google BigQuery developer in India (UTC-7)
I studied CS at university, focused on machine learning research, and authored papers with 700+ citations. In 2013 I joined Dropbox where we built software used by 500M people. After a few years as the product matured and the company grew large, I wanted to work at a startup. In 2018 I joined Sentry, now the world's leading error monitoring tool and a challenger in the $4B application performance monitoring space. I first led the growth team to optimize our self-serve funnel. Then I became a product manager to invest in new product development that was essential to continued growth. My team revamped alerts, a critical part of Sentry, and achieved double digit growth in adoption and quality metrics. In 2022 I took a break to build investing tools for the general public. In 2023 I started Podgenie, an AI assistant ([https://www.podgenie.app/](https://www.podgenie.app/)) that helps content marketers at B2B companies maximize the impact and reach of their audio-video content (podcasts, webinars etc) by automatically repurposing it to text formats like blogs, emails, and case studies. The product ultimately failed because I had too much of a "build it and they will come" mindset and didn't invest enough in GTM and differentiation.
Vetted Google BigQuery developer in India (UTC+6)
Krishna is a machine learning engineer who is curious and passionate about applied deep learning in computer vision, NLP, and reinforcement learning. He has four years of experience with machine learning, including having been a part of the analytics division of JP Morgan Chase & Co. He is a great communicator and enthusiastic developer.
Vetted Google BigQuery developer in India (UTC+6)
Working as Technical Manager with solution-focused technocrat having 11+ years of experience in leading large-scale Retail and Online E-Commerce Database engineering solutions with hands on in Data Platform and Analytics arena, leading projects from Design through to implementation. Instrumental in dissecting complex problems, devising scalable solutions & processes, and forelooking end-to-end change management.
Vetted Google BigQuery developer in India (UTC+6)
Are you looking for a seasoned **Full Stack Developer** to bring your ideas to life? With over a decade of professional experience in **TypeScript/JavaScript** web development, I specialize in crafting **fast**, **functional**, and **scalable web applications** that don’t just look good—they deliver exceptional performance. ### **What I Offer:** * 🚀 **Custom Web Application Development:** From concept to deployment, I build tailored solutions using frameworks like **React.js**, **Next.js**, and **Node.js**. * ☁️ **Cloud-Ready Solutions:** Expert in deploying and managing cloud-native applications. * 🔄 **SaaS Development:** Scalable Software-as-a-Service solutions designed to grow with your business. * 📱 **Cross-Platform Mobile Apps:** Robust mobile application development for **iOS** and **Android**. * 📊 **End-to-End Expertise:** Seamless integration of front-end, back-end, databases, and APIs to deliver cohesive and efficient systems. ### **Why Choose Me?** * **Comprehensive Skill Set:** Proficient in modern technologies such as **TypeScript**, **GraphQL**, **Docker**, and **Cypress**, ensuring top-tier project execution. * **Proven Track Record:** Worked on impactful projects like MLOps platforms, enterprise dashboards, and real-time multiplayer apps. * **Client-Focused:** I pride myself on delivering **user-centric designs** and solutions tailored to meet your specific needs. * **Agile Workflow:** I use best practices like **CI/CD**, **test-driven development**, and **agile methodologies** to ensure timely and high-quality delivery. ### **Technical Proficiency:** * **Front-End:** React.js, Next.js, JAMstack * **Back-End:** Node.js, Express, REST APIs * **Cloud:** AWS, Docker, Firebase * **Data Handling:** GraphQL, SQL, MongoDB * **Testing & DevOps:** Cypress, GitHub Actions ### **Industries I've Worked With:** * 🛍️ **E-Commerce:** Dynamic web apps for shopping platforms, including SEO optimization and AMP. * 🏥 **Healthcare:** Applications for patient monitoring, diagnostics, and analytics. * 🌐 **SaaS Platforms:** Cloud-based business solutions with real-time dashboards and integrations. * 🎮 **Gaming:** Multiplayer frameworks and engaging user experiences for gaming platforms. Let’s collaborate to bring your vision to life! Whether it’s a custom web app, a scalable SaaS platform, or a cutting-edge mobile app, I’m here to help. **Contact me today to discuss your project and get started!**
Vetted Google BigQuery developer in India (UTC+6)
Software consultant having worked as Engineering Manager and Lead Software Engineer in Javascript, Python and Elixir with over 12 years of experience demonstrating versatility and team leadership in diverse business domains from startups to big-tech. I run a software consulting and development firm where we take care of the entire product engineering lifecycle for you. With a background in structured, procedural and functional programming, implementing software architecture using principles such as Context Mapping, Domain Driven Design and C4 architecture to enhance system scalability and maintainability for enterprise application development, distributed systems, data processing & analytics, having steered multiple crossfunctional projects with autonomous teams of varying sizes to achieve OKRs, process optimisation and increased operational excellence. Experienced in data analytics, software development, using ETL tools such as fivetran, airflow, integromat. We are software engineers, product leads and consultants who have worked in a range of tech companies ranging from startups to bigtech like Klarna Bank, HCLTech, Google, L&T Infotech, Momox. We understand product development and have managed teams of different sizes with over 10 years of experience in various verticals such as Ecommerce, ERP, Fintech, FashionTech, Health & Wellness.
Vetted Google BigQuery developer in India (UTC+6)
Accomplished Data and MLOps Engineer with over 6 years of experience spearheading innovative data solutions for large enterprises and leading startups. Possesses a robust background in data engineering with a specialization in MLOps and DataOps.
Vetted Google BigQuery developer in India (UTC+6)
Passionate Software engineer with 6.5+ years of hands-on experience designing, developing, and shipping large-scale applications. Full-stack engineer specializing in Front End.
Vetted Google BigQuery developer in India (UTC+6)
I have over 7 years of experience as a Tech Lead, leading the digital transformation of a media company. I have expertise in Python, Django, PostgreSQL, Docker, and Bigquery. I have successfully managed teams and developed a microservices application, optimized code for performance, and migrated databases. I hold a Bachelor's degree in Computer Science.
Vetted Google BigQuery developer in India (UTC+6)
Hello! I'm Avikalp, a **tech nerd, builder & automater**, passionate about helping developers thrive in their careers. With software development, data science, and leadership expertise, I specialize in full-stack development & deployment of large-scale commercial AI-driven products. My entrepreneurial instincts help me focus on the problem and find the most optimal (economical & performant) solutions. I find collaborating over code very fulfilling and I've played a crucial role in establishing the code review, versioning & knowledge transfer mechanisms for every team I've worked with.
Meet Google BigQuery developers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View Google BigQuery developers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring Google BigQuery developers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal Google BigQuery 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 Google BigQuery 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.