How quickly can you hire with Toptal?

Typically, you can hire BigQuery developers with Toptal in about 48 hours. For larger teams of talent or Managed Delivery , timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network. Once you select your BigQuery developer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

How do I hire BigQuery developers?

To hire the right BigQuery developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect BigQuery developers for your project.

How are Toptal BigQuery developers different?

At Toptal, we thoroughly screen our BigQuery developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship. When you hire BigQuery developers with Toptal, you’ll always work with world-class, custom-matched BigQuery developers ready to help you achieve your goals.

Can you hire BigQuery developers on an hourly basis or for project-based tasks?

You can hire BigQuery developers on an hourly, part-time, or full-time basis. Toptal can also manage the entire project from end-to-end with our Managed Delivery offering. Whether you hire a BigQuery developer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our BigQuery developers can fully integrate into your existing team for a seamless working experience.

What is the no-risk trial period for Toptal BigQuery developers?

We make sure that each engagement between you and your BigQuery developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another BigQuery developer who may be a better fit and with whom we will begin a second, no-risk trial.

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View Pablo

Pablo Estrada

Freelance BigQuery Developer

Verified Expert in Engineering

UTC-08:00

United States

Toptal Member Since June 2, 2021

Pablo is a software engineer with experience with many big data technologies, primarily Apache Beam, but also BigQuery, Kafka, Flink and Spark, PubSub, and Kinesis. He worked as an open-source developer on Apache Beam and thus comprehends it deeply. He helped many Beam community members onboard and written various integrations. Pablo believes good software starts from good testing and good observability. If we build systems starting from that, we can get more reliable results.

BigQuery Python Java Data Engineering Cloud Engineering ETL Database JSON NoSQL

View Shaun

Shaun Brown

Freelance BigQuery Developer

Verified Expert in Engineering

UTC-07:00

United States

Toptal Member Since November 17, 2022

Shaun is a data and software professional with more than five years of experience in software engineering, data analytics, statistics, and implementation. He is eager to keep learning new skills and adding tools to his metaphorical tool belt. Shaun's ability to integrate into any work environment and quickly adapt to any tech or data stack makes him an immediate asset to any team.

BigQuery Python JavaScript Cloud Engineering Big Data Architecture SQL Business Intelligence Development Dashboard Data Engineering Data Analysis Analytics Development

View Roberto

Roberto Barboza

Freelance BigQuery Developer

Verified Expert in Engineering

UTC-05:00

Canada

Toptal Member Since February 15, 2021

Roberto is a software engineer with over a decade of experience primarily dedicated to building efficient data-processing pipelines in both hardware and software. He's worked in a range of industries/fields (media, NLP, defense, electronics) and tools/technologies (BigQuery, Python, VHDL, SQL, FPGA). Besides a demonstrated history of delivering solutions that vastly improve performance, Roberto brings an analytics-driven mind and a problem-solving attitude to any challenge.

BigQuery Python SQL Apache Airflow Data Engineering

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Henrique Barbosa Coura

Freelance BigQuery Developer

Verified Expert in Engineering

UTC-03:00

Brazil

Toptal Member Since September 25, 2017

With over eight years in the industry, Henrique is a developer who has taken on full-stack, back-end, and leadership roles. He has extensive experience with Go, Python, the HTML stack, networking, Docker, Kubernetes, and more. A big part of Henrique's career has revolved around the web scraping business and all its techniques, such as mimicking human behavior, proxies, and data extraction. Recently he worked on distributed systems and a browser farm orchestration software on top of Kubernetes.

BigQuery PostgreSQL Python Golang Back-end Developers Django Web Scraping Data Scraping REST API SQL

View Fernando

Fernando Brito

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+01:00

Sweden

Toptal Member Since July 1, 2016

Fernando is a data engineer with 10+ years of experience in full-stack engineering. He has demonstrated expertise in setting up data platforms and working on DataOps and data infrastructure. Fernando recently worked as a staff data engineer for a hot scale-up in Europe, where he acted as his team's tech lead. He is also an accomplished speaker and open-source contributor.

BigQuery Python Ruby Ruby on Rails Snowflake Data Engineering Google Cloud Development

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Antoine Anicotte

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+01:00

France

Toptal Member Since December 6, 2022

Antoine is a freelance engineer with over a decade of experience in business intelligence, data and analytics engineering, and data visualization. He specializes in building data platforms for companies that want to develop a data-driven mindset. Antoine enjoys working on projects within the data space, ideally around analytics engineering.

BigQuery Business Intelligence Development Data Warehouse Data Visualization Data Engineering Analytics Development SQL Python Tableau Development Data Science Dashboard Data Analysis Database

View Singala

Singala Mallikarjuna

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+05:00

India

Toptal Member Since December 26, 2022

Singala has 10+ years of experience in the data industry, working as a data engineer and data analyst. He has expertise in BigQuery, Data Studio (Looker), Python, SQL, Airflow, GCP, and Oracle. Singala has worked in different domains, including healthcare, insurance, media, and retail, and gained experience in various data warehouses, databases, and orchestration and reporting tools. He loves to write complex queries and can adapt to most SQL and cloud platforms.

BigQuery Apache Airflow Python SQL Database Tableau Development ETL Data Engineering Data Analysis Data Visualization Cloud Engineering Oracle Development Business Intelligence Development

View Faisal

Faisal Malik Widya Prasetya

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+07:00

Indonesia

Toptal Member Since April 25, 2022

Faisal is a data engineer specializing in cloud data technologies like Google and AWS and end-to-end data engineering processes. From designing the architecture and building the infrastructure to developing pipeline operations, he is highly adaptable to new cloud-based, open source, or SaaS technologies. Faisal has solid experience contributing to early-stage startups by directly building end-to-end data pipelines or providing consulting services in his fields of expertise.

BigQuery Visual Studio Development Linux Cloud Engineering AWS Machine Learning Python Business Intelligence Development AWS Lambda MySQL Apache Airflow GitHub PostgreSQL

View Dénes

Dénes Bartha

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+08:00

Singapore

Toptal Member Since December 7, 2018

As a Ph.D. student of Computer Science, Dénes has worked as a researcher in Bioinformatics at The University of Tokyo and the National University of Singapore. He has also contributed as a Software Engineer at the Canadian Aviation Engineering (CAE). He greatly enjoys using machine learning techniques in order to solve real-world problems and to help businesses.

BigQuery Python C++SQL Artificial Intelligence Machine Learning Cloud Engineering Deep Learning Data Analysis Data Scraping Database Data Science Prompt Engineering

View Edison

Edison Zhu

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+10:00

Australia

Toptal Member Since July 7, 2021

Edison is a seasoned BI developer and data engineer with 19 years of experience across diverse industries. Specializing in Azure and Google Cloud Platform (GCP), he excels in designing high-performance BI solutions using tools like Azure Data Factory, Python, Power BI, Tableau, Databricks, and GCP BigQuery. An expert in data architecture, dimensional modeling, and optimizing large-scale data warehouses, Edison delivers scalable, high-quality solutions backed by strong technical expertise.

BigQuery Business Intelligence Development SSIS Databricks SQL Dashboard Data Warehouse Data Engineering Database Data Migration ETL Data Science Microsoft Access Development

View Lincoln

Lincoln Hu

Freelance BigQuery Developer

Verified Expert in Engineering

UTC+12:00

New Zealand

Toptal Member Since March 1, 2021

With over 15 years of experience, Lincoln specializes in developing and implementing business intelligence (BI) and data warehouse solutions, SAP ERP systems, software, and web design and development. His expertise spans a wide range of technologies, including SQL, T-SQL, MS SQL Server, Oracle, data warehousing, ETL processes, MS SSIS, SSRS/SSAS, Power BI, Microsoft Azure SQL Database, Synapse Analytics, Databricks, Google BigQuery, Amazon RDS and Redshift, as well as Python programming.

BigQuery SQL SSIS Business Intelligence Development ETL Data Warehouse Database Data Engineering Excel Development DAX Data Analysis Data Visualization Analytics Development

Discover More BigQuery Developers in the Toptal Network

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THE TOPTAL ADVANTAGE

98% of Toptal clients choose to hire our talent after a risk-free trial.

Toptal's screening and matching process ensures exceptional talent are matched to your precise needs.

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Toptal in the press

... allows corporations to quickly assemble teams that have the right skills for specific projects.

Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

Our clients

Creating an app for the game

Leading a digital transformation

Building a cross-platform app to be used worldwide

Drilling into real-time data creates an industry game changer

Testimonials

Tripcents wouldn't exist without Toptal. Toptal Projects enabled us to rapidly develop our foundation with a product manager, lead developer, and senior designer. In just over 60 days we went from concept to Alpha. The speed, knowledge, expertise, and flexibility is second to none. The Toptal team were as part of Tripcents as any in-house team member of Tripcents. They contributed and took ownership of the development just like everyone else. We will continue to use Toptal. As a startup, they are our secret weapon.
Brantley Pace
CEO & Co-Founder

How to Hire BigQuery Developers Through Toptal

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.

Work With Hand-selected Talent

Within days, we'll introduce you to the right BigQuery developer for your project. Average time to match is under 24 hours.

The Right Fit, Guaranteed

Work with your new BigQuery developer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of BigQuery Developers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

Start Hiring Today

STEP 1

Language and Personality Evaluation

26.4% of applications pass

The first step of the screening process is a comprehensive English language and communication evaluation. We also assess personality traits, seeking only those who are passionate and fully engaged in their work.

STEP 2

In-depth Skill Review

7.4% of applications pass

We test each applicant’s technical knowledge and problem-solving ability through various assessments. Every member of the Toptal network is an expert in their domain, and we typically only advance candidates with exceptional results in this phase.

STEP 3

Live Screening

3.6% of applications pass

Toptal screeners, who are experts in their functional domain, interview each BigQuery developer. Our screeners provide specific live exercises, looking for problem-solving ability, depth of experience, communication ability, and creativity.

STEP 4

Test Project

3.2% of applications pass

Each candidate is assigned a test project to evaluate whether they can “walk the walk.” Test projects take 1-3 weeks and are comprehensive and provide real-world scenarios for candidates to demonstrate their competence, thoroughness, professionalism, and integrity.

STEP 5

Continued Excellence

Top 3.0% of BigQuery developers

As a quality-first company, we demand the best from our talent, so they can deliver the best to our clients. This principle permeates every Toptal engagement and delivered project. Only the top 3% of developers can consistently perform at this level.

FAQs

How quickly can you hire with Toptal?
Typically, you can hire BigQuery developers with Toptal in about 48 hours. For larger teams of talent or Managed Delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

Once you select your BigQuery developer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.
How do I hire BigQuery developers?
To hire the right BigQuery developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect BigQuery developers for your project.
How are Toptal BigQuery developers different?
At Toptal, we thoroughly screen our BigQuery developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

When you hire BigQuery developers with Toptal, you’ll always work with world-class, custom-matched BigQuery developers ready to help you achieve your goals.
Can you hire BigQuery developers on an hourly basis or for project-based tasks?
You can hire BigQuery developers on an hourly, part-time, or full-time basis. Toptal can also manage the entire project from end-to-end with our Managed Delivery offering. Whether you hire a BigQuery developer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our BigQuery developers can fully integrate into your existing team for a seamless working experience.
What is the no-risk trial period for Toptal BigQuery developers?
We make sure that each engagement between you and your BigQuery developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another BigQuery developer who may be a better fit and with whom we will begin a second, no-risk trial.

Tap Into World-class Talent

Trusted Talent Only
Our talent are thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.
Precise Matching
Our experienced talent matchers specialize in pairing you with the right fit. They work to understand exactly what you need and hand-select the best professionals for your project.
Seamless Hiring
We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.
No-risk Trial Period
We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.
Effortless Scaling
Scale your team up or down as needed, with quick and efficient hiring in under 48 hours.
Flexible Engagements
Choose the engagement type that suits your needs—hourly, part-time, or full-time— and enjoy the flexibility to adjust as needed.