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Top Dataflow developers available to hire:

Freelance Dataflow developers - Adi S.
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Adi S.

Vetted Dataflow developer in the United Kingdom

**python jedi** with baby yoda skills @ JS, React, Redux. I am a senior software engineer @ Pinterest with over a decade of software engineering experience with B2B and B2C products in large and startups alike. I have extensive experience building large scale systems which solve real world problems and bring in up to billions of dollars in revenue. I have a bachelor's and master's degree in computer science with a specialization in Machine Learning and have been coding for the last 17 odd years. Outside of work, I like to cycle, take portraits and workout regularly.

Freelance Dataflow developers - ceyhun K.
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ceyhun K.

Vetted Dataflow developer in Turkey (UTC+2)

Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.

Freelance Dataflow developers - Bummy A.
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Bummy A.

Vetted Dataflow developer in the United States (UTC-5)

I have an exceptional understanding of Data Engineering, Business Intelligence Data Warehouse, and Salesforce concepts. I possess profound knowledge of databases and cloud formation services. I am skilled in SQL writing, analytical skills, and reporting and dashboard development. I have experience in ETL processes and integrating and configuring partner connection apps. I am knowledgeable in Salesforce Sales Cloud and have experience in data modeling and data quality. I have worked as an Application Developer/ETL, Marketing Data Engineer, Data Engineer/Salesforce Admin Consultant, ETL Developer/Data Engineer, and ETL Developer. I have a Master's degree in Information Technology and certifications in Salesforce Admin and AWS Solution

Freelance Dataflow developers - Saniasnain M.
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Saniasnain M.

Vetted Dataflow developer in Canada (UTC-4)

Google Cloud Certified Professional Data Engineer and Big Data Enthusiast with 5 years of experience in designing and implementing and architecting autonomous and on-demand Cloud Data Engineering ETL pipeline solutions to load data from both batch and streaming sources into Data Warehouses, Data Lakes and Systems Migration to the Cloud. Looking for opportunities to translate my expertise and experience in Google Cloud into efficient ETL Data Pipeline and Warehouses.

Freelance Dataflow developers - Guichong L.
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Guichong L.

Vetted Dataflow developer in Canada (UTC-5)

EXPERIENCE SUMMARY • 8-year work experience as Senior Data scientist for Biotechnology, market research, telecom business, automobile, network security, and 4-years work experience as AI engineer for cloud spark applications in AWS, Azure.. • Recent research and development for applications in anomaly traffic detection in CAN workflows; high level feature extraction using Bayesian variables; object detection and action classification; • Designed and implemented machine learning algorithms for churn prediction and Add a Line analysis and machine learning pipelines for telecom business analysis. • Developed advanced machine learning algorithms for text, POS outlet items, category hierarchy classification; multilabel and multitask classification algorithms/text classification/NLP; • Developed advanced machine learning regression/classification algorithms for food component analysis using chemometrics and spectroscopy; • Postdoctoral research on uniformly and unbiased sampling/crawling online social networks using advanced Markov Chain Monte Carlo techniques; developed an innovative sampling algorithm, a new coupling technique, implemented by Ruby and Rails and Twitter API, DataMapper; Unix/Linux, Amazon EC2; social media analysis using Python, NLTK, SkLearn.

Freelance Dataflow developers - Jose R.
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Jose R.

Vetted Dataflow developer in the United Kingdom

I hold an MSc in Industrial Engineering and throughout the years I have created and deployed chatbots, recommender systems, decision, classification and forecasting models as well as many processing pipelines. On the different teams I have collaborated or lead, I have always promoted best practices and I have held mentoring sessions to learn the basics or discover new technologies. Proficient in Python, NLP, ML Ops, and various ML tools, including the major cloud providers.

Freelance Dataflow developers - Michail L.
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Michail L.

Vetted Dataflow developer in Spain (UTC+2)

With over 5 years of experience in data engineering and cloud computing, I am passionate about delivering cutting-edge solutions that leverage the power of data and AI. I am currently a DevOps Cloud Engineer at Schwarz Global Services Barcelona, where I work with a diverse and talented team to design, implement, and maintain cloud-native applications using Kubernetes, CI/CD, MS Azure, Python, and Golang. In my previous role as an Apigee Solutions Engineer at Webhelp, I supported Apigee Edge and Apigee X/Hybrid customers by creating solutions to their issues, communicating with the product engineering teams, and documenting best practices. I also trained junior and enterprise level engineers on the Google Cloud Platform, covering products such as BigQuery, Dataproc, Dataflow, AutoML, Vision AI, and more. I have developed strong skills in API management, data analytics, machine learning, and customer service, which I leverage to deliver high-quality results.

Freelance Dataflow developers - Pavel B.
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Pavel B.

Vetted Dataflow developer in Moldova (UTC+3)

I am a Java software engineer with 7+ years of background. I have experience working in teams using Agile methodologies (Scrum), in the role of back-end developer and tech lead. Have worked closely with the business for feature analysis and review, which included writing the technical details. My strongest skills are Java, Spring Framework, OOP, SQL, and Clean Code. I strive to bring as much value as possible, by doing my job responsibly and professionally. I always like to challenge myself with new things.

Freelance Dataflow developers - Fernando M.
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Fernando M.

Vetted Dataflow developer in Brazil (UTC-3)

As a Senior Full-Stack Engineer with over 16 years of experience developing full-featured software solutions, I have a robust knowledge of Angular, React, Next.js, NodeJS (Express), Python (FastAPI), and the SDLC from End-to-End, which I use to create innovative services and applications. I have extensive experience using Agile methodologies and the Scrum Framework, and I am passionate about making the most efficient solutions. Technologies: Angular, React, Node, Python, GitHub, REST API, SQL, JavaScript, TypeScript, JQuery, Docker, C#, Java, and more.

Freelance Dataflow developers - Bruno O.
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Bruno O.

Vetted Dataflow developer in Brazil (UTC-3)

I’m a passionate Software & Data Engineer with 15 years of experience designing and developing high-throughput, event-driven Microservices and batch and stream processing data pipelines that handle several terabytes daily. I thrive best on fast-paced environments where teams have the autonomy to innovate and experiment with new ideas.

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FAQs

Why hire a Dataflow 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 Dataflow 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 Dataflow developers can help keep your website up-to-date.

How do I hire Dataflow developers?

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

Where do I hire the best remote Dataflow developers?

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

Some factors to consider when you hire Dataflow 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 Dataflow developers for hire.

How do I write a Dataflow developer job description?

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

What skills should I look for in a Dataflow developer?

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

What kinds of Dataflow developers are available for hire through Arc?

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

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

Every Dataflow 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 Dataflow 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 Dataflow developer's skills?

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

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

How much does a freelance Dataflow developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Dataflow developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Dataflow 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 Dataflow 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 Dataflow developer?

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 Dataflow 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 Dataflow developers, check out our FAQs page.

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