Hire the Top Freelance Big Data Developers in the World
Big Data Developer
Experienced Big Data engineer with seamless project implementation
Loves guacamole & hates spoilers
Stacked portfolio of beautiful, functional websites
Known for his epic charcuterie & cheese boards
Mobile engineering guru with a knack for translating stakeholder needs
Would rather be diving Palau’s Blue Corner
Top UpStack Big Data Developers
Eduardo possesses over 20 years of professional software development background and has the experience and skills to fulfill both programming and data engineering roles. He enjoys building data processing pipelines as well as designing and developing software solutions using Golang, Python, and DevOps.
Ernest is an experienced Software Engineer with 7+ years of strong technical competencies and hands-on expertise in the development and delivery of mission-critical Java solutions and services on projects for leading tech companies in Thailand and Russia. He has team experience, is a good communicator and uses a business-oriented approach for interactions with clients.
Steven is a qualified Data Scientist and Data Engineer who develops and deploys full analysis pipelines for Machine Learning and data mining projects on large datasets. He has hands-on experience translating models into business insights and applying data knowledge to real-world business problems. Steven uses various technology stacks to deliver solutions to complex projects using a practical focus and collaborating in cross-functional teams.
Dmitry is a seasoned Solutions Architect/Delivery Manager with 15+ years of industry experience in the delivery of high-quality Data Warehousing, Cloud Analytics and Strategy Consulting solutions that enable business in the Financial Services, Telecom, Gaming, Insurance, and Healthcare sectors to become data-driven; leveraging on the best technology stack and engineering practices for implementation.
I am a Senior Software Engineer with 13+ years of technical insight in data (Big Data) analysis; iterating high-quality solutions for clients in the advertising and banking industry. I have hands-on mastery in Big Data analysis, AWS data pipeline processing, Hadoop and Java development; working on big-scale data-centric projects across the software development process. I am an avid learner of new technologies with team lead expertise for globally distributed software development teams.
Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.
Solution-driven Software Engineer with over 13 years of professional experience in building and operating large websites, SaaS applications, RESTful Web APIs, and data processing tools for various industries. He is specializing in Python and has extensive experience in operating cloud-based infrastructure at Amazon Web Services (classic as well as Docker-based) and Azure. Kamil has a proven track record of architecting and delivering custom software, making business-oriented decisions, and leading development teams. Focused on delivering business value through high quality, maintainable, and well-documented code.
Well-versed Data/Cloud Engineer, Business Intelligence & Data Scientist Consultant with 10+ years of experience building data-intensive applications, with extensive hands-on knowledge across multiple industries (real estate, oil, Insurance Brokers, etc). I strive to make an impact by creating scalable data platforms and transforming big data into valuable insights using data science and analytics. My primary interests include distributed systems, large-scale structured storage & query optimization, and data exploration and prediction with ML/AI.
Dedicated Data Engineer with proven proficiency in Java 8 and Python, as well as expertise in NumPy, SciPy, Scikit-Learn, Pandas, Matplotlib, Jinja2, Selenium. Versed in programming, data computing, research design, and data analysis, implementing action-oriented solutions to business problems. Experienced with Big Data Modelling, Computer Vision, Integration, and Analysis, including the Hadoop ecosystem and Spark. Dealt successfully with high-impact situations at Amazon and worked extensively with various AWS products such as Amplify, Sagemaker, DynamoDB, S3, EMR, Data Pipeline, Lex, Lambda. Extremely engaged in Artificial Intelligence, with a significant portion of university and work projects being in this area.
Hire Big Data Developers with Upstack
Hiring an ideal Big Data developer for your upcoming big task can be stressful. You want to find the right candidate the first time, a specialist who is smart, accountable, and knowledgeable, or else you will have difficulty getting the task off the floor. Upstack solves your hiring problems by matching your company with vetted senior level Big Data creators. Our highly effective matching process uses state-of-the-art artificial intelligence that finds your enterprise an ideal candidate for your upcoming project. Our blend of A.I. and personal interviews assures a great fit for your development team. Our ultimate objective is to help you choose a Big Data developer that can contribute to your team immediately. Through the years we have refined our hiring process, and it is now trusted by premier startups throughout the country. Hire your next Big Data developer with Upstack and start adding skilled specialists to your staff today.
Our ability to find you the ideal Big Data developer couldn't be easier with our intelligent matching process. We’ve narrowed the hiring process down so it takes only days, not weeks to identify a professional developer. Our matching program and expert staff will save you time and gets any project started swiftly. Upstack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We’re not searching for a good developer fit, we are trying to find the best one. Simply tell us what skills you’re searching for and an Upstack expert will contact you, it’s that simple.
They trust Our Big Data Developers
Why hire a Big Data developer with Upstack
Top Big Data talent pre-vetted for a perfect fit.
Our 8-point assessment evaluation ensures that every senior Big Data developer you interview exceeds expectations across technical, cultural, and language criteria.
Hire reliable, passionate Big Data developers.
From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.
Risk-free 14-day trial.
Confidently onboard candidates with our no-questions-asked trial period. We’ll walk you through the contract-to-hire process if and when you’re ready to make it permanent with your new Big Data engineer.
Our Client Success Experts provide white-glove service.
Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.
Build your optimal team confidently, quickly.
UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.
Schedule a call with a Client Success Expert to get starting hiring a Big Data developer.Start hiring Start hiring Start hiring
Hire from the Best.
Working with our Client Success Experts, we’ll help you build the remote team of your dreams with top Big Data talent from around the world.
Pre-vetted, reliable Big Data developers are standing by.
Hiring Big Data Developers | FAQs
How much does it cost to hire a Big Data developer?
UpStack has a simple billing model where each Big Data developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).
What is the process to find a Big Data developer?
You’ll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.
How does UpStack find its Big Data developers?
UpStack’s talent recruitment team connects with software developers around the globe every day. Each Big Data programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.
How is UpStack different from an agency or recruiter?
UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.
Can I hire UpStack Big Data developers directly?
Yes, you can hire UpStack Big Data developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we’d create a job opening on our portal. Then, we’d vet, interview, and match developers that meet your needs. If you’re satisfied at the end of the 14-day trial period, at any time you can directly hire them.