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Hire the Top 3% of Freelance Apache Spark Developers

Toptal is a marketplace for top Apache Spark developers, engineers, programmers, coders, architects, and consultants. Top companies and startups choose Toptal Apache Spark freelancers for their mission-critical software projects.

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Clients rate Toptal Apache Spark developers 4.9 / 5 on average based on 1,562 reviews.
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Yuriy Margulis

Freelance Apache Spark Developer
UTC-08:00
United States
Toptal Member Since June 18, 2020

Yuriy is a data specialist with over 15 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.

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Daniel Stahl

Freelance Apache Spark Developer
UTC-06:00
United States
Toptal Member Since August 25, 2021

Daniel is a full-stack developer with nine years of real-world experience in financial modeling and analytics and three years of experience developing big data applications in Spark and Hadoop. He currently leads a machine learning operations team that designs continuous delivery services for machine learning applications. While professionally focused on data and analytics, Daniel has a passion for building delightful interfaces to enable the broad consumption of complex mathematical models.

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Adam Ivansky

Freelance Apache Spark Developer
UTC-05:00
United States
Toptal Member Since November 6, 2018

Adam has nine years of experience as an engineer and two years of experience as a tech load. His tools of choice include Python 3, Snowflake, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to communicate effectively with both highly technical and non-technical specialists.

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Benjamin Li

Freelance Apache Spark Developer
UTC-05:00
Canada
Toptal Member Since November 3, 2021

Benjamin has over two decades of software and big data development experience, including data modeling and data warehouse design. His active toolset includes Spark, Python, Scala, AWS, Azure, SQL, Hive, Linux, Microsoft BI solutions, C#.NET, and Java. His orientation to detail and strong analytical and problem-solving skills make him an excellent addition to any team. A kind and intentional communicator, Benjamin always produces high-quality work.

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Karip Kaya

Freelance Apache Spark Developer
UTC+00:00
United Kingdom
Toptal Member Since March 29, 2022

Karip is a data engineer and developer with 18 years of experience in the IT industry and six years in the freelance community. He specializes in Java, Scala, and Python and is skilled at Hadoop, Spark, and PL/SQL. Karip enjoys working on the back end, database, and big data projects.

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Adrian Dominiczak

Freelance Apache Spark Developer
UTC+01:00
Poland
Toptal Member Since July 21, 2020

Adrian is a senior big data engineer with nearly a decade of professional experience. Adrian started his career as a software engineer at Samsung's R&D and has worked on a range of projects from machine learning and big data engineering in banking and pharmaceutical industries to big data and cloud architecting at Santander and Lingaro. Adrian's areas of expertise lie mainly with Hadoop and Spark.

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Selahattin Gungormus

Freelance Apache Spark Developer
UTC+03:00
Turkey
Toptal Member Since May 4, 2021

Selahattin is a data engineer with several years of hands-on experience building scalable data integration solutions using open-source technologies. He excels at developing data applications using distributed processing platforms such as Hadoop, Spark, and Kafka. Selahattin also has practical experience in cloud architecture types such as AWS and Azure, as well as developing microservices using Python and JavaScript frameworks

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Evgeny Tsvigun

Freelance Apache Spark Developer
UTC+03:00
Russia
Toptal Member Since April 19, 2018

Evgeniy is a back-end developer with over ten years of experience, specializing in big data/fast data processing and machine learning. He's always in touch with the latest advances in the industry and continuously upgrades his skill set. His toolkit is centered around functional programming and scalable analytics engines like Apache Spark. Evgeniy considers the job done only when it has been tested, documented, and deployed.

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Radek Ostrowski

Freelance Apache Spark Developer
UTC+07:00
Thailand
Toptal Member Since September 24, 2014

Radek is a certified Toptal blockchain engineer particularly interested in Ethereum and smart contracts. In the fiat world, he is experienced in big data and machine learning projects. He is a triple winner in two different international IBM Apache Spark competitions, co-creator of PlayStation 4's back end, a successful hackathon competitor, and a speaker at conferences in Australia, Poland, and Serbia.

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Tianshi Zhu

Freelance Apache Spark Developer
UTC+08:00
China
Toptal Member Since May 4, 2020

Tianshi loves optimizing distributed systems, big data pipelines, and real-time streaming applications. It thrills him when an out-of-memory issue is fixed or a Spark job becomes 50% faster, or a streaming application's throughput is increased by 10x. Tianshi looks forward to building the next reliable, scalable, and highly available distributed system.

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Wei Ding

Freelance Apache Spark Developer
UTC+10:00
Australia
Toptal Member Since September 27, 2022

Wei is a senior system engineer with over a decade of experience in system development in the Australian finance and media fields. He has a bachelor's degree in engineering and two master's degrees in engineering management and IT. Wei specializes in data modeling and system solution architecture and has delivered Python, Java, and Spark applications.

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How to Hire Apache Spark Developers Through Toptal

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A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
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Within days, we'll introduce you to the right Apache Spark developer for your project. Average time to match is under 24 hours.
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Work with your new Apache Spark developer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

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FAQs

  • How quickly can you hire with Toptal?

    Typically, you can hire an Apache Spark developer with Toptal in about 48 hours. For larger teams of talent or Managed Delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your Apache Spark developer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right Apache Spark developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect Apache Spark developers for your project.

  • At Toptal, we thoroughly screen our Apache Spark developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire with Toptal, you’ll always work with world-class, custom-matched Apache Spark developers ready to help you achieve your goals.

  • You can hire Apache Spark developers on an hourly, part-time, or full-time basis. Toptal can also manage the entire project from end-to-end with our Managed Delivery offering. Whether you hire an expert for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our Apache Spark developers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your Apache Spark developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial.

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    Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.

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