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135 Remote Gcp dataproc developers and experts available to hire:

Gcp dataproc coder - Jijun T.
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Jijun T.

Vetted Gcp dataproc developer in France (UTC+2)

Software engineer with over 3+ years of experience in Python and JavaScript. Led the development of a big data surveillance system, which provided grafana dashboard for team members about the kafka running status. Scoring 19/20 over multiple university projects on CUDA, MPI, and concurrent programming in C++. Offering experience, passion, rigourous and commitment to excellence.

Gcp dataproc consultant - Hayk S.
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Hayk S.

Vetted Gcp dataproc developer in Armenia (UTC+4)

I'm a senior full-stack developer with **over 7 years of experience** delivering scalable, high-performance web applications for startups and global companies. My career has taken me through a range of industries—from healthtech and fintech to gaming and e-commerce—where I've helped teams turn complex ideas into elegant, efficient digital products. My technical strengths lie in **React**, **Next.js**, **TypeScript**, **Node.js**, and **Python**, with deep expertise in building intuitive frontends, robust APIs, and cloud-native backends. I’m also experienced in blockchain integrations, smart contract interactions, and NFT payment systems. Whether it’s creating custom UI components, optimizing PostgreSQL queries, or developing serverless functions on AWS, I bring a versatile, detail-oriented mindset to every project. Beyond client work, I’ve contributed to internal tooling and performance tuning initiatives that significantly improved app load times and maintainability. I’m passionate about clean architecture, DX (developer experience), and building interfaces that feel as good as they look. I value collaboration, transparency, and continuous learning. My mission is simple: build meaningful software that solves real problems, scales beautifully, and creates great user experiences.

Gcp dataproc developers developer - Hayk S.'s portfolio image
Gcp dataproc developers developer - Hayk S.'s portfolio image
Gcp dataproc developers developer - Hayk S.'s portfolio image
Gcp dataproc coder - Harsh S.
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Harsh S.

Vetted Gcp dataproc developer in India (UTC+6)

Meet Harsh, a dedicated member of the Applied AI Engineering team at Target, with a focus on implementing the genAI components using Vertex AI, OpenAI and open source models. This includes working extensively with Foundation Model APIs, Search and Conversation, Model Garden, and Vector Search. My role allows me the opportunity to leverage the latest and most advanced models and products from the Generative AI community. Harsh was engaged in building a MLOps platform from scratch by building abstraction layers with scalable APIs. Proficient in Python, AWS, GCP, Spring Boot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker, Harsh's expertise spans a wide range of technologies. He is a professional introvert who thrives on writing to learn and continually seeks new knowledge every day. Harsh's fascination with Data Science stems from his mathematical captivation and love for questioning existing processes and assumptions. He excels in developing novel methods and analytical algorithms, constantly striving for consistent improvement. His proficiency in Machine Learning encompasses various algorithms, including Decision Trees, Regression, Classification, Neural Networks, Ensemble methods, Kernel Methods, SVMs, Markov Decision Processes, Game Theory, and Bayesian Learning. Additionally, Harsh has a strong grasp of statistical techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, and A/B Testing. He is experienced in working with applications and databases like Tableau, GitHub, Power BI, Qlik, MySQL, PostgreSQL, Apache Spark, AWS Redshift, DynamoDB, Cassandra, and Hive. Harsh's multifaceted personality shines through in his work and social interactions. As a machine learning enthusiast and sociable individual, he excels in client-facing roles, actively engaging with stakeholders to understand their needs and provide effective solutions. His passion for crunching numbers and working with datasets, alongside creating compelling visualizations, enables him to reveal the stories hidden within the data. Harsh firmly believes in empathy and gratitude, fostering positive work environments and delivering outstanding results. He places great importance on clear communication and defining requirements meticulously to ensure the team achieves the desired outcomes. Outside of work, Harsh cherishes meeting new people, engaging in meaningful conversations, and building valuable relationships. This trait complements his networking skills, making him a valuable asset in both professional and social spheres.

Gcp dataproc consultant - Sandra Z.
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Sandra Z.

Vetted Gcp dataproc developer in Colombia (UTC-5)

_I am a software engineer with 6 years of experience in software development, specialising in Python. I have expertise in using DJango and various AWS services to build scalable solutions. I hold a Master's degree in Artificial Intelligence and am well-versed in agile methodologies such as Scrum._

Gcp dataproc programmer - PRASANNA N.
PRASANNA N.

Gcp dataproc developer in India (UTC-7)

I am a senior data engineer expert in building scala data pipelines. I am well versed with database technologies and Python for building data systems that are reliable and cost effective.

Gcp dataproc programmer - Bala B.
Bala B.

Gcp dataproc developer in India (UTC+6)

With 17.5 years of expertise as a seasoned Data Engineer, I have successfully delivered data-driven solutions across Banking & Finance, Retail, Networking, and Healthcare industries. My technical proficiency spans Google Cloud Platform (GCP) and Amazon Web Services (AWS), leveraging advanced tools such as BigQuery, Dataflow, DataProc, Cloud Composer, Apache Airflow, Cloud Functions, Google Cloud Storage (GCS), Pub/Sub, Data Fusion, Kafka, Spark, and PySpark. Additionally, I specialize in AWS Redshift, AWS Glue, AWS Lambda, and AWS S3, ensuring efficient cloud-based data processing, transformation, and analytics. I am passionate about designing scalable data pipelines, optimizing cloud-based architectures, and enabling real-time data insights to drive business value.

Gcp dataproc engineer - Matt S.
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Matt S.

Vetted Gcp dataproc developer in the United States (UTC-7)

With over 25 years of technical and organizational leadership experience, I have successfully led cloud-native architecture migrations, implemented data workflows, managed cross-functional teams, and optimized cloud computing budgets. My expertise includes AWS, GCP, DevOps practices, Kubernetes, and incident management.

Gcp dataproc engineer - Sunil R.
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Sunil R.

Vetted Gcp dataproc developer in the United States (UTC-8)

I am a U.S. Citizen based in Dublin, CA with expertise in Java, Python, AWS, and microservice architecture. I led projects at Amazon generating millions in revenue and founded a successful iOS app.

Gcp dataproc coder - Man N.
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Man N.

Vetted Gcp dataproc developer in the United States (UTC-5)

• Senior Frontend Developer with over 10 years of experience. • A true expert specialized in building web applications by using React and mobile apps by using React Native. • I have rich experience in Javascript, Typescript, Redux, Bootstrap, CSS/Sass/Less, AWS, Azure, GCP, Firebase, etc.

Gcp dataproc engineer - Preston Z.
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Preston Z.

Vetted Gcp dataproc developer in the United States (UTC-7)

Software Development leader and AI Full Stack Engineer with experience building solutions in healthcare, finance, defense, and AI. Leads teams to architect scalable platforms and develop AI-driven applications for Fortune 500 companies. Experienced educator at top universities and contributor to global initiatives. Focused on solving complex challenges and turning ideas into impactful, scalable solutions. Let’s connect and create something great!

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Why clients hire Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers can help keep your website up-to-date.

How do I hire Gcp dataproc developers?

To hire a Gcp dataproc 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 Gcp dataproc developers effectively and efficiently. Hire full-time Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Gcp dataproc developers?

There are two types of platforms you can hire Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers, consider niche platforms like Arc that naturally attract and carefully vet their Gcp dataproc developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Gcp dataproc developers.

Some factors to consider when you hire Gcp dataproc 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 Gcp dataproc developers for hire.

How do I write a Gcp dataproc developer job description?

Writing a good Gcp dataproc developer job description is crucial in helping you hire Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Gcp dataproc developer?

The top five technical skills Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers to keep up with evolving technology and requirements.

What kinds of Gcp dataproc developers are available for hire through Arc?

You can find a variety of Gcp dataproc developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Gcp dataproc developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Gcp dataproc developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Gcp dataproc developers.

Every Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers, you can rest assured that all remote Gcp dataproc 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 Gcp dataproc developers on Arc?

Arc pre-screens all of our remote Gcp dataproc developers before we present them to you. As such, all the remote Gcp dataproc 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 Gcp dataproc developer in 72 hours, or find a full-time Gcp dataproc 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 Gcp dataproc developers.

How much does a freelance Gcp dataproc developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Gcp dataproc developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc 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 Gcp dataproc developers, check out our FAQs page.

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