Arc helps you find and hire top freelance Big Data engineers for your jobs. With 5,800 Big Data 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 Big Data developers and experts that you can trust.
Vetted Big Data developer in the United States (UTC-7)
I am very passionate about data analytics. I enjoy working on massive data points to understand the story and create insights to help the organization make strategic decisions. I currently work with a media company where I lead the data, reporting, and insights aspect for the advertising business. My roles requires me to work with teams from technical as well as business side. I always enjoy working on complex problems and breaking it down to simple steps to make it easier to achieve.
Vetted Big Data developer in Canada (UTC-5)
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
Vetted Big Data developer in Brazil (UTC-3)
I am a data engineer and Backend Developer with more than 15 years of experience in software development and systems analysis. I have a bachelor's degree in Information System, a master's degree in Computer Science and a PhD in Mechanical Engineering with an emphasis on artificial intelligence. In the first quarter of 2020, finalize a data lake project on AWS to receive data from the industrial sector. I work with technologies such as AWS, Docker, Kubernetes, Java, AngularJS, Angular 8, Python, NodeJS, SpringBoot, PostgreSQL, SQL Server, MYSQL. I have the ability to learn and integrate different technologies.
Vetted Big Data developer in Taiwan (UTC+8)
I am an experienced backend engineer with over 8 years of experience (IoT 4 years, AdTech 4 years). My expertise is building high-performance distributed systems and SaaS platforms, especially in large-scale IoT platform, real time advertisement bidding applications, and big data processing with actor programming (Akka and Erlang OTP), Apache Spark and Apache Kafka. My passion is studying distributed database technologies and leading-edge big data solutions.
Vetted Big Data developer in Colombia (UTC-5)
Software developer oriented to build efficient business solutions. Fully acknowledge in different technologies such as Java and C#. Experience with relational and non-relational databases. Conceptual clarity and project structuring skills. English proficiency and interest in professional update.
Vetted Big Data developer in Italy (UTC+1)
Motivated and highly professional specialist with years of experience in Data Analysis and Architecture. Proven experience in the fields of Data Management, Analytics, DWH, BI, CRM, EPM and Credit Risk. Capable of undertaking different roles: PM, Business Analyst, Data Architect/Engineer/Analyst and Developer. Always interested in new challenges and in the acquisition of new skills and competencies.
Vetted Big Data developer in Brazil (UTC-3)
Skilled Software Developer with a broad range of expertise encompassing Amazon Web Services (AWS), API development, Full Stack, Requests, software engineering, XPath, Web and Mobile App development, SAP, Selenium, Unit Testing, Python Programming, Web Crawling solutions, Automatic Testing, OpenCV, Windows Azure Platform, Cloud Computing, Data Validation, Data Lake, PostgreSQL, MongoDB, Node.js, Business Logic, Vue.js, SAP ERP, JIRA, C#, GitHub, Google Cloud Platform, and Flutter. Daniel has successfully engineered hyperscale SAP and cloud solutions for international companies, leading cloud migration projects and demonstrating proficiency in developing and deploying automation crawlers and APIs. He has a strong track record in software application development, excelling in automated testing methodologies and unit testing and utilizing diverse tech stacks tailored to project requirements. Daniel has also demonstrated crisis management skills in resolving Disaster Recovery.
Vetted Big Data developer in Brazil (UTC-3)
Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert
Vetted Big Data developer in India (UTC+6)
9+ years of experience in the IT Industry in Designing & Developing enterprise/cloud products. Interested in developing high QPS distributed systems that are data-intensive and latency-sensitive. My Interests lie in Backend Development, Microservices, Distributed Systems, Cloud Computing, Big Data, Application Performance Monitoring and Problem-Solving. **Skills** Languages: Java, Python, NodeJS, Typescript Frameworks: Spring Boot, Apache Spark, Apache Kafka, Flask, Gradle, Express Databases: MYSQL, MSSQL, Postgres, Cassandra, Redis, CouchDB, MongoDB, DynamoDB, BigTable Cloud: AWS, GCP, AZURE DevOps: Kubernetes, Docker, GitLab
Vetted Big Data developer in India (UTC+1)
Sanni is a professional with 7 years of data engineering and analytics experience in media, cloud communications, financial technology, and health care. He's great at helping companies create data collection and processing tools for high volume, velocity, veracity and variety. Sanni's expertise includes designing and building scalable, fault-tolerant products, such as data platform and ingestion frameworks, self-serve analytics and reporting systems, data lakes, and data warehouses on-premises or in the AWS ecosystem. He delivers low latency data processing systems and is skilled at system design, data modeling, ETL, stream processing, and product analytics. Heruwala is capable of building data processing systems using diverse components, including Spark, HDFS, S3, Lambda, Hive, DynamoDB, and Redis. Sanni capably defines analytics charters and helps organizations move towards data-driven decision making.
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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 Big Data 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 Big Data developers can help keep your website up-to-date.
To hire a Big Data 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 developers effectively and efficiently. Hire full-time Big Data 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 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 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Big Data 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 developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big Data 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 Big Data 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 developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data developer candidates.
Some factors to consider when you hire Big Data 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 developers for hire.
Writing a good Big Data developer job description is crucial in helping you hire Big Data 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 Big Data 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 programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Big Data 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 Big Data 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 developers to keep up with evolving technology and requirements.
You can find a variety of Big Data 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 programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data 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 Big Data 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 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 developers.
Every Big Data 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 Big Data 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 Big Data 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 Big Data 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 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 developers, you can rest assured that all remote Big Data 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 developers before we present them to you. As such, all the remote Big Data 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 programmer in 72 hours, or find a full-time Big Data 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 Big Data developers.
Depending on the freelance developer job board you use, freelance remote Big Data developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data 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 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 Big Data 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 developers, check out our FAQs page.