Alberto is a senior full-stack developer with 9+ years of experience shipping complete web products end-to-end, from responsive UI to APIs, auth, payments, database design, and cloud deployment. He bootstrapped entire engineering platforms from zero, built B2B dashboards and customer-facing apps with minimal direction, integrated AI/LLM features (OpenAI, Whisper, GPT-4, LangChain) into production SaaS products, and designed distributed backends serving 40M+ users. Alberto can take full ownership — architecture decisions, CI/CD, observability, shipping cadence — and communicate asynchronously with zero hand-holding. Whether it's a greenfield MVP or scaling an existing product, he delivers production-ready code fast and keeps the codebase clean for whoever comes next.
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This engineer has experience with Python, SQL, cloud services, and various data science-related ecosystem tools. He also has a strong understanding of some of the cloud-related MLOps concepts. Brian is adept at effectively managing non-technical stakeholders and communicating complex ideas clearly. Proficient in developing and deploying LLMs, ML models, and pipelines, Brian is a skilled AI engineer as well. Outside of daily work, Brian can be found practicing some sports, including muay thai!
Meet Adrian, a Senior Back-End Developer with 6+ years of commercial experience. Adrian is most proficient with Python and JavaScript but open to any project stack! His hardware skills are metrology, automation systems, microcontrollers, scheme-building, and digital and analog electronics projecting. Adrian is an open-minded person with a great desire for professional growth. His previous experience includes working for a fintech company, a project for schools, and a vaccination assessment service.
With a career spanning top-tier companies like Google and Volvo, Bradley brings solid full-stack expertise and a keen architectural mindset. More recently, he has focused on his own startup, where he developed AI-driven features using OpenAI and machine learning models. His roles extended beyond engineering to product strategy and team leadership, ensuring seamless collaboration across departments.
Raphael has been in the IT industry for more than 17 years, and for the last 7 of them, he has been dedicated to working with a Javascript environment. Like every full-stack developer, Raphael has his hidden preferences: he leans towards the front-end but is also no slouch in the back-end business. It's worth mentioning that Raphael is a fan of lifelong learning: he is thrilled about an opportunity to acquire new skills and continuously deepen his expertise. He has a passion for making technology work for people and loves nothing more than solving challenges. Raphael's extensive background as a tech teacher will greatly help when it comes to the discussion of complex topics and mentoring less experienced teammates.
Guilhermo is an experienced Senior Data Engineer with around 8 years of hands-on experience in the field. He possesses extensive knowledge of SQL, Python, Azure, and AWS, which makes him an expert in his field. Guilhermo also has a valuable background in handling AI-driven data workflows and model deployment infrastructure. His understanding of debugging concepts and ability to make sound architectural choices enables him to create robust data solutions. He has gained valuable experience with startups and is familiar with the dynamic nature of the industry. Guilhermo's proactive approach and evident enthusiasm for his work make him an excellent addition to any team.
Jakub is a senior Data Engineer and Data Analyst with strong expertise in SQL, AWS, and Python, confirmed through technical screenings and client feedback. He has led complex data pipeline and dashboard projects across fintech, marketing, and analytics domains, demonstrating solid architectural and project management skills. Clients highlight his problem-solving ability, responsiveness, and effective communication.
Bruno is an experienced Senior Data Engineer with over 6 years of expertise in creating ETL/ELT Data Pipelines. He is skilled in Python, SQL, and other data technologies. Bruno has an impressive record of leading the entire Big Data Team and has played a crucial role in raising the delivery standards. In addition to his technical skills, Bruno shares his insights on his YouTube channel. With Bruno's expertise, you can expect top-notch data engineering and team leadership.
Petr is a seasoned software developer with over 10 years of experience. He possesses strong expertise in JavaScript, TypeScript, Node.js, and Angular and has recently acquired skills in Flutter, React, and Next.js. Petr is known for his excellent problem-solving and time management skills, extensive research experience, and self-education.
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Developers who got their wings at
How it works
How to hire a BigQuery developer in days, not months
Fill in a short form
Tell us about your BigQuery project, timeline and hours, then look through our vetted developers.
Take a 30-minute call
A Lemon.io matching expert goes over your needs and gives you a budget estimate.
Meet 1–3 candidates
You get 1–3 developer profiles, usually within 24 hours. Interview them the way you normally would.
Start working
Your developer joins your team part-time or full-time and works directly with you.
Testimonials
Reached out on Monday evening, connected Tuesday morning, had four qualified candidates by Wednesday.
We had an excellent experience. Process is fast from the initial intake through setting up payment.
The developers helped us speed up. They quickly learned their part of the app and we’re grateful for their contribution.
Lemon.io does the hiring work. You pick the BigQuery developer.
We vet every developer
Every BigQuery developer passes a live interview with a senior engineer. We accept 1.2% of applicants.
We hand-pick your matches
A matching expert picks people by your stack, domain and time zone, and tells you why each one fits.
We handle the paperwork
We handle contracts, NDAs and invoices. You pay Lemon.io, and we pay your developer.
We stay after you hire
Your Lemon.io manager stays in touch with you both. If it doesn't work out, we find a replacement for free.
The lemon tea
BigQuery developers who watch bytes scanned
BigQuery makes any query possible, including the ones that scan your whole history every hour. Our BigQuery developers keep queries fast and the bill under control.

Partitioning by default
Interviewers check partitioning, clustering and how a candidate estimates bytes scanned before running a query.

GCP data profiles
Browse BigQuery profiles with Looker, Airflow or PySpark work, and pick your own shortlist. Nowhere else shows clients the pool.

Part-time analytics help
Warehouse work tends to come in part-time chunks. Scale up when a new data source lands.
Why hire BigQuery developers
A BigQuery developer keeps your warehouse fast and your query costs from surprising finance.
Bytes-scanned savings
Partitioning and clustering that cut what each query reads.
Looker and dashboards
Semantic models and dashboards built on clean tables.
dbt transformations
Tested SQL models with clear lineage.
Streaming inserts
Real-time data landing in BigQuery reliably.
Case studies
The experience with Lemon.io has been fantastic. The interview process has been good, the caliber of people – excellent and integration has been very smooth.
We needed extra developers to clean off all these bugs so the company could skyrocket.
We needed extra AI engineers to keep our ambitious project running.
Frequently asked questions
Where can I find BigQuery developers?
You can find BigQuery developers by searching for “BigQuery” as a keyword on job boards like LinkedIn, Indeed, and Glassdoor. Additionally, exploring freelance platforms, agencies, and developer communities such as GitHub, Stack Overflow, and even Reddit can connect you with potential candidates. These platforms allow you to reach out to developers who specialize in data analytics and cloud services.
However, the process of screening candidates, reviewing their experience, and conducting interviews can be time-consuming and challenging, especially if you’re not familiar with BigQuery’s technical nuances. To make the process easier, consider using Lemon.io. We can match you with pre-vetted BigQuery developers who meet your specific needs within just 48 hours, allowing you to start your project quickly and efficiently on a subscription basis.
What is the no-risk trial period for hiring BigQuery developers on Lemon.io?
Lemon.io’s no-risk trial period for BigQuery developers extends up to 20 hours and functions as a paid test-drive where you collaborate on real project work, rather than just solving hypothetical problems like many other platforms offer.
If, at any point, you decide that your Lemon.io developer isn’t quite the perfect fit, rest easy; we offer a no-risk replacement guarantee for peace of mind and expedited onboarding. In 99% of cases, the replacement is mentioned as an option, but we promise to handle it efficiently if needed.
Is there a high demand for BigQuery developers?
BigQuery developers are in high demand, particularly in industries that deal with large volumes of data and require fast, scalable, and efficient data processing and analytics. BigQuery, as a fully managed data warehouse in the Google Cloud Platform, excels at handling massive datasets, making it a go-to solution for companies in sectors like finance, healthcare, retail, and technology. Businesses that rely on data-driven decision-making and real-time analytics often seek developers with strong BigQuery skills to help them unlock insights from their data quickly and efficiently.
As more organizations move their data infrastructure to the cloud and seek to harness the power of big data analytics, the demand for developers proficient in BigQuery continues to rise. These professionals are essential for optimizing data workflows, building complex queries, and ensuring that businesses can scale their data operations effectively.
How quickly can I hire a BigQuery developer through Lemon.io?
We can connect you with a carefully selected shortlist of experienced BigQuery developers within 48 hours of understanding your project needs. From there, the pace depends entirely on your desired onboarding process, but we have found that most clients successfully integrate their new BigQuery developers into their workflows within just a few days of connecting with Lemon.io.
What are the main strengths of Lemon.io’s platform?
Lemon.io is a lightning-fast matching service on the market. We find you the perfect developer for your tech stack, skills, and project expectations. We then introduce you to 1-2 candidates from our top 1% of vetted talent.
These are the developers who have passed a very rigorous vetting process including their profiles, soft skills, and technical abilities checks. You can also rely on us for flexibility. Our subscription models and direct hire options come with a no-risk, paid 20-hour trial period, performance monitoring, and replacements.
However, rest assured, Lemon.io has an extremely low replacement rate.
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