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Arc helps you find and hire top freelance BigQuery ML engineers for your jobs. With 893 BigQuery ML programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance BigQuery ML developers and experts that you can trust.
BigQuery ML developer in Brazil
Senior Software Engineer with over 7 years of experience in Scala, including funcional programming libraries like Cats and ZIO. Experienced in the design of reactive applications and streaming data pipelines using functional programming Hands on experience on data engineering pipelines, including real time streaming architectures, using Spark and Apache Flink.
Freelance BigQuery ML developer in Canada
I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics
Freelance BigQuery ML developer in Brazil
Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.
Freelance BigQuery ML developer in Colombia
Data Scientist with more than 8 years of experience, which include 5 years working remotely with international ditributed teams. I have excellent English communication skills ( C2 ) and my experience of different industries, that cover healthcare, retail, technology, finance, energy and logistics, provide me with transversal approaches for solving AI and Data related problems efficiently and effectively.
Freelance BigQuery ML developer in Armenia
I'm a data professional with 4 years of experience in Data Science and Analytics. My skills cover statistics, data analysis, visualization, machine learning, and proficiency in Python, SQL, PySpark, BI tools, and dbt. I've built accurate churn prediction models and boosted user engagement through A/B testing. I hold a Micromasters in Statistics and Data Science from MITx and a Bachelor's degree in Economics.
Freelance BigQuery ML developer in Canada
I hold a Business Analytics certification from Harvard Business School and a Computer Science degree. I have expertise in various programming languages, databases, cloud platforms, and soft skills. My experience includes leading projects, improving workflows, and developing software solutions. I have also worked as a freelance software/database engineer and a software developer. My technical skills include Python, Java, JavaScript, SQL, Node.Js, React.Js, Express, REST API, and more. I have certifications in Professional Database Engineering and Container Orchestration. I have led initiatives that resulted in cost savings, efficiency improvements, and enhanced user experiences. My leadership skills extend to leading projects at Walmart and participating in extracurricular activities such as photography contests and mentorship programs.
Freelance BigQuery ML developer in India
Highly analytical and detail-oriented data engineer with 4+ years of experience in developing and enhancing ETL pipelines, designing solutions, and managing DevOps efforts. Proficient in AWS, GCP services, Hadoop and Spark Architecture, SQL, and real-time streaming data. Strong experience in Python, SQL queries, and cross-platform cloud technologies and demonstrates extensive exposure working with LLMs and building Gen AI products. Demonstrates extensive experience in translating business requirements into logical program designs, delivering stable application systems, and managing the full software development lifecycle (SDLC). Proven track record of improving business performance through efficient data solutions and automation.
Freelance BigQuery ML developer in the United Arab Emirates
An acccomplished AI leader with proven experience in pioneering data science incubators and building scalable AI/ML solutions in Fortune 500 companies. Adept in steering the AI and Generative AI (GenAI) strategy, from use-case discovery to responsible implementation and deployment. Experience in building global data science teams including hiring, mentoring, and fostering technical excellence. Deep practical knowledge of the full life cycle of AI and GenAI, with proficiency in communicating complex AI concepts from developers to executives.
Freelance BigQuery ML developer in Kenya
I am an experienced Analytics Engineer with a strong background in data engineering, advanced analytics, and visualization. I specialize in designing data models, building automated data pipelines, and creating interactive dashboards that drive data-driven decision-making. My recent work has involved leveraging industry-leading tools like SQL, dbt, Snowflake, and Airflow to ensure scalable data architecture. I excel at transforming raw data into actionable insights that enable business optimization and product strategy development, with a proven ability to collaborate across departments to meet organizational goals.
Freelance BigQuery ML developer in the United Kingdom
I hold an MBA from Newcastle University Business School and a BSc & MSc in Quantitative Finance. I have experience as a Technical Writer, Head of Data Engineering, and Lead Data Engineer.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 BigQuery ML developer, multiple developers, 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 BigQuery ML developers can help keep your website up-to-date.
To hire a BigQuery ML 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 BigQuery ML developers effectively and efficiently. Hire full-time BigQuery ML 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 BigQuery ML engineers 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted BigQuery ML 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 BigQuery ML developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire BigQuery ML programmers 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 BigQuery ML 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 BigQuery ML developers, consider niche platforms like Arc that naturally attract and carefully vet their BigQuery ML developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote BigQuery ML developer candidates.
Some factors to consider when you hire BigQuery ML 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 BigQuery ML developers for hire.
Writing a good BigQuery ML developer job description is crucial in helping you hire BigQuery ML programmers 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 BigQuery ML 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 BigQuery ML programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills BigQuery ML 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 BigQuery ML 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 BigQuery ML developers to keep up with evolving technology and requirements.
You can find a variety of BigQuery ML developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance BigQuery ML programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote BigQuery ML 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 BigQuery ML 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 BigQuery ML developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire BigQuery ML developers.
Every BigQuery ML developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in BigQuery ML and breadth across the greater domain). 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 BigQuery ML engineer 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, you can rest assured that all remote BigQuery ML 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 BigQuery ML developers before we present them to you. As such, all the remote BigQuery ML 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 350,000 candidates. You can also expect to hire a freelance BigQuery ML programmer in 72 hours, or find a full-time BigQuery ML programmer 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 BigQuery ML developers.
Depending on the freelance developer job board you use, freelance remote BigQuery ML developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find BigQuery ML 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, check out our FAQs page.