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Top Data Engineering Developers with UpStack

Eduardo
Eduardo L.

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.

Michael
Michael G.

Michael is a Machine Learning Consultant and Educator with a technical focus on machine learning and statistical analysis using Python, R, SQL and Shiny. He provides expertise for machine learning, regression analysis and statistics, text mining and social media analysis, time series analysis, Shiny Web Applications and machine learning applications using frameworks such as Keras and TensorFlow. He is a keen researcher and participant in international machine learning conferences.

Ruud
Ruud T.

Ruud is a business-minded Data Scientist with 7+ years of technical expertise in the delivery of valuable data-driven solutions and insights on projects via data analytics and advanced data-driven methods. He provides solutions that drive sustainable corporate growth; with gains in customer loyalty and profits.

Steven
Steven B.

Qualified Data Scientist with expertise in developing and deploying full analysis pipelines for machine learning and data mining projects on large datasets. I have hands-on experience in translating models into business insights, applying data knowledge to real-world business problems. I use various technology stacks to deliver solutions to complex projects utilizing a practical focus and collaborating in cross-functional teams.

Dmitry
Dmitry Y.

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.

Claudiu
Claudiu N.

Claudiu is a driven Engineer with 5+ years of experience in Databases, Data Warehousing, Data Engineering, Business Intelligence, Linux, and Financial Analysis. He is a strong information technology professional with a Master's degree focused in Mobile Und Internettechnologien In E-Business from University of Transilvania, Brașov. Claudiu is skilled in SQL and Oracle DB, with a background in ETL, highly-skilled in design and tuning, strategic planning, database monitoring and growth, performance improvement, and process automation.

Abdelilah
Abdelilah A.

I am an expert Geospatial and Machine Learning Engineer with 8+ years of technical experience, providing consultancy on solutions for AWS cloud platform deployments, object detection, segmentation, deep learning and geospatial systems. I am a good communicator and team player; delivering excellent solutions on projects to ensure client satisfaction.

Nikolay
Nikolay K.

He is a professional Full Stack Developer with 10+ years of technical expertise in server and client-side development; iterating solutions with client requirements into exciting online applications, browser extensions and relational databases. He has delivered numerous solutions that add value and improve performance on projects.

Nelson
Nelson P.

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.

Dhyey
Dhyey S.

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 Data Engineering Developers with UpStack

Hire a highly skilled Data Engineering developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Data Engineering programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Data Engineering developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.

Hiring a Data Engineering developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Data Engineering programmer. Our matching program and expert team 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're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.

They trust Our Data Engineering Developers

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Why hire a Data Engineering developer with UpStack

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    Top Data Engineering talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Data Engineering developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Data Engineering 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.

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    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 Data Engineering engineer.

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    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.

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    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 Data Engineering developer.

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Hire from the Best.

Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Data Engineering talent from around the world.

Pre-vetted, reliable Data Engineering developers are standing by.

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UpStack Platform for Hiring Data Engineering Developers
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Hiring Data Engineering Developers | FAQs

  • How much does it cost to hire a Data Engineering developer?

    UpStack has a simple billing model where each Data Engineering 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 Data Engineering 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 Data Engineering developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Data Engineering 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 Data Engineering developers directly?

    Yes, you can hire UpStack Data Engineering 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.