Your trusted source for hiring full-time and freelance Big Data Engineering developers, including experts, programmers, engineers, coders, contractors, and consultants — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Vetted Big Data Engineering developer in the United States (UTC-7)
Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.
Vetted Big Data Engineering developer in the United States (UTC-4)
● 15+ years Linux / Windows Server administration (IIS, Nginx, Active Directory & multiple Linux flavors) ● 15+ years MSSQL / MYSQL Database administration and BigData ● 15+ years Experience with Python, Pyspark [VB.NET](http://vb.net/), C#, SQL, R, Torch, Tensorflow, and Keras ● JavaScript/JQuery, and Multiple Trading-bot based languages (MQL etc) ● 5+ years of experience with golang and rust for concurrent api programming ● 5+ years of experience with serverless architecture deployment, security and monitoring (Splunk) ● Familiar with various source control systems (SVN, Git, etc.) ● Expert with containerization (docker, vagrant, helm, kubernetes) and virtual machines ● Extensive Knowledge in AI/ML, MLOps, VertexAI, and applied artificial intelligence models ● Extensive knowledge of project management platforms and managing large teams ● Automation and testing with multiple languages and frameworks ● Expert in payment processor integration (stripe, paypal, square, alipay etc) ● Experienced with Data-Science/Data-Engineering, and time-series forecasting methods ● Skilled with front end application of ReactJS, Angular and VueJS ● 5+ years experience with multiple Cloud Services like GCP (Google Cloud Platforms), Azure and AWS ● Experienced with Grid Computing
Vetted Big Data Engineering developer in Armenia (UTC+4)
I am an accomplished technical lead with more than 11 years of hands-on experience in designing, implementing, and overseeing backend systems. My expertise also extends to over 5 years of specialization in creating and implementing AWS cloud data engineering solutions. Throughout my career, I have consistently delivered successful data projects, optimized data pipelines, and maintained data quality and integrity. My skills include the design of scalable and efficient data architectures, making effective use of various AWS services, such as Cognito, S3, Kinesis, Lambda, Glue, Athena, Redshift, QuickSight, EventBridge, and CloudWatch. I have a strong track record in building and leading teams in a startup environment, contributing to the development of innovative products and solutions. My commitment to staying up-to-date with the latest industry trends and technologies ensures that I can provide the best solutions and leadership for any data engineering and backend system challenges.
Vetted Big Data Engineering developer in New Zealand (UTC+12)
From a computational physicist with 30+ publications, I've transitioned into lead roles within software and data development. Being an expert in multiple coding languages, cloud platforms, and frameworks, I mentor (and learn from) junior colleagues to strengthen our team culture. I am seeking senior technical leadership roles that combine strategic planning and team management with hands-on technical contributions.
Vetted Big Data Engineering developer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.
Vetted Big Data Engineering developer in Kenya (UTC+3)
Allan is a skilled Data & Software Engineer with a diverse range of expertise. He has over 10 years of professional experience, specializing in software and data engineering. Allan's proficiency extends to various domains, including data, web analytics, BI development, front-end architecture, and API development. His extensive knowledge encompasses Big Data mining and management, cloud infrastructure setup, digital transformations, and data warehouse management. Allan has also worked with Google Cloud Platform, Azure, and cloud architecture. In addition, his technical toolkit includes React.js, Python, R, Spark, Scala, SQL, AWS, Hadoop, ETL, Power BI, Tableau, Google Analytics, and Google Tag Manager. Allan's comprehensive skill set enables him to tackle complex projects and deliver effective solutions with teams.
Remote Big Data Engineering developer in the United Kingdom (UTC+1)
With a PhD from UCL in Machine Learning and Digital Signal Processing for Optics, I developed practical algorithmic solutions for the next-gen cloud infrastructure with partners such as Microsoft Research. Now an Associate Financial Engineer/Analyst, I research data-driven models and analytics, bridging high-tech solutions with quant finance. I am passionate about applying quantitative and engineering skills to solve 'impossible' challenges using the latest technologies.
Remote Big Data Engineering developer in South Korea (UTC+9)
I am a Senior Data Engineer with experience in managing large data pipelines, improving data refresh cadence, and implementing data privacy infrastructure compliant with international standards. My skills include Java, Scala, SQL, and GCP.
Remote Big Data Engineering developer in the United States (UTC-5)
As a seasoned Python AI/ML langchain engineer, I have been working for many years for developing and deploying cutting-edge machine learning and AI-driven application developments. I have a hands-on experience with Langchain, Llama-index, OpenAI, LLM(GPT-3/4), LLM Evaluation, Guardrails, Prompt engineering, Django, conversational AI, Vectorizing, modeling, training model, forecasting and ETL. Also, specialized in ML/DL projects such as e-commerce sales optimization, sales forecasting, Image processing and Climate Change Impact Analysis, using cutting-edge techniques such as Tensorflow, Scikit-learn. Additionally, have extensive experience in managing and maintaining server infrastructure, cloud architecture, and automation for high-performance AI applications, specialize in building microservices and cloud-based solutions on AWS. I have participated in developing large scale projects and learned how to work and collaborate with team members, good work ethic in development, project and time management, troubleshooting and debugging issues. I thrive on challenge and am eager learner.
Remote Big Data Engineering developer in the United States (UTC-5)
Platform Engineer and Site Reliability Engineering (SRE) specialist with over 7 years of experience in designing large-scale distributed systems and artificial intelligence/machine learning (AI/ML) infrastructure. Skilled in optimizing high-intensity workloads, implementing observability, and automating infrastructure processes. Successfully reduced operational costs and improved system reliability while creating robust monitoring solutions for AI/ML pipelines. Proven ability to enhance system performance through innovative telemetry solutions and infrastructure optimization.
Discover more freelance Big Data Engineering developers today
Meet dedicated Big Data Engineering developers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View Big Data Engineering developers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring Big Data Engineering developers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal Big Data Engineering developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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 Big Data Engineering 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 Big Data Engineering developers can help keep your website up-to-date.
To hire a Big Data Engineering 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 Big Data Engineering developers effectively and efficiently. Hire full-time Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data Engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data Engineering developers.
Some factors to consider when you hire Big Data Engineering 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 Big Data Engineering developers for hire.
Writing a good Big Data Engineering developer job description is crucial in helping you hire Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers to keep up with evolving technology and requirements.
You can find a variety of Big Data Engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Big Data Engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Big Data Engineering developers.
Every Big Data Engineering 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 Big Data Engineering 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.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Big Data Engineering 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 Big Data Engineering 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 Big Data Engineering developers, you can rest assured that all remote Big Data Engineering 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 Big Data Engineering developers before we present them to you. As such, all the remote Big Data Engineering 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 Big Data Engineering developer in 72 hours, or find a full-time Big Data Engineering 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 Big Data Engineering developers.
Depending on the freelance developer job board you use, freelance remote Big Data Engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data Engineering 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 Big Data Engineering 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 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 Big Data Engineering 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 Big Data Engineering developers, check out our FAQs page.