Hire the top Hadoop Developers - DistantJob - Remote Recruitment Agency

Hire Hadoop Developers with DistantJob in Just 2 Weeks

Find  skilled Hadoop Developer  to join your team in less than two weeks with DistantJob. Our global recruitment team can help you hire remote Hadoop developers that not only speak fluent English and work according to your timezone but are also the perfect fit for your company culture.

    Why Hire A Hadoop Developer with DistantJob?

    1. We focus on helping companies hire remote developers: DistantJob handles your hiring challenges by matching your company with a vetted senior-level Hadoop developer.
    2. We are pocket-friendly; we tap into local markets with lower salary inflation without affecting quality. Your Hadoop developers will get paid above their local average while you save money.
    3. You’ll be able to hire a big data Hadoop developer that works remotely according to your timezone.

    How Our Process Works

    As a leading remote IT recruitment agency, we care about our clients’ opinions and want them to participate throughout the recruitment process. Why? Because for us, hiring a qualified candidate is not only about the skills and abilities, but it’s also about how candidates match with your company’s culture.

    1.Culture-first Recruiting:

    As soon as you talk with us or fill our form, the first thing we do is analyze your company. We set up a call with you to understand your culture and the type of people you value working with.

    2.The headhunting process begins:

    We reach out to hundreds of candidates that we think might be a possible match for you. In 2 weeks, you’ll start reviewing people that match your requirements. We focus on providing you 3-5 top candidates instead of giving you an endless list.

    3.Contracts, payments, documentation, security - we take care of everything:

    Once you select the candidate, we handle all the contracts and payments from day 1. We also take the legal steps required to protect your IP.

    How to Hire a Full-Time Remote Hadoop Developer

    It’s not an easy task to hire the best remote talent, especially tech talent. It can cost you more money and resources. Moreover, you’re competing with multiple other businesses who want to hire the best Hadoop developers remotely.

    In a situation like this, you need a team with solid tech and remote recruitment knowledge that has a thorough screening process in place. This team should also have expertise with detailed and better job descriptions that can help you ask better interview questions too.

    Instead of blocking some of your resources for this task, it is best to take help from an expert in the field of remote recruitment so that your internal team can focus on other important business tasks.

    DistantJob has more than a decade of  experience in remote hiring and has helped small and big businesses hire Hadoop developers remotely. Our expertise in the field can help you with your hiring needs while you save time and money.

    What is Hadoop?

    Hadoop is an open-source software framework for storing and processing data on commodity hardware clusters. It has a lot of storage for any sort of data, a lot of processing power, and it can perform almost unlimited concurrent processes or jobs.

    You can store any type of data using HDFS (Hadoop Distributed File System), whether it’s semi-structured, unstructured or structured. There is no pre-dumping schema checking in HDFS. It also adheres to the “write once, read many” concept. As a result, you may write the data once and read it several times to uncover insights.

    Hadoop Developer Qualifications and Skills

    If you plan to hire certified Hadoop developers, you must know the qualifications and skills to look for in a remote candidate.

    Here are the main Hadoop skills and job description you should keep in mind:

    • Hadoop application documentation, design, and development.
    • Managing the installation, configuration, and support of Hadoop Coding in MapReduce.
    • Helping to establish Hadoop clusters and reducing for clusters.
    • Ability to complete designs from difficult processes and functional needs.
    • Skills to create web apps that track and handle data at a fast rate.
    • Proposing operational methods and standards.
    • Testing software prototypes and delivering them to the operational team.
    • Knowledge of data pre-processing using Hadoop platforms such as Pig and Hive.
    • An understanding of Data privacy and security standards is vital.
    • Managing and implementing HBase After completing data analysis, gaining insights

    Hadoop Developer Salary Worldwide

    The pay scale for remote employees depends on factors like their location, specialization, and experience level.

    • According to Indeed the average annual salary of a Hadoop developer in the United States is around $138,415.
    • com indicates $117,022 a year.

    You’ll find knowledgeable Hadoop developers outside the US. Because of a lower cost of living in other regions, recruiting remotely will save your business money while also ensuring that the developer you hire gets paid as per industry standards or even higher than industry standards in their region.

    DistantJob, with years of experience in remote hiring, has solid knowledge of the best hiring practices to help you find the best remote tech talent.

    Here is an overview of the annual salary for certified Hadoop developers outside the US:

    • Latin America: approximately $85,000/year (Zippa.com)
    • Eastern Europe: $75,833/year (Arc.dev)
    • Asia: $71,408/year (Arc.dev)

    Advantages of Hadoop for Your Business

    Store Large Amounts of Data

    Hadoop provides the ability to swiftly store and handle large volumes of any type of data. That’s an important concern as data quantities and kinds continue to grow, notably from social media and the Internet of Things (IoT).

    Computer Power

    Hadoop’s distributed computing paradigm efficiently handles large amounts of data. You have higher processing power if you use more computer nodes.

    Failure Tolerance

    Hardware failure does not affect data or application processing. Jobs are automatically routed to other nodes if a node fails, ensuring that distributed computing does not fail. All data is automatically duplicated and saved in many locations.


    Unlike standard relational databases, you don’t have to preprocess data before saving. You have complete control over how much data you save and how you utilize it.

    Hire a Hadoop Developer

      Are you our next superstar remote developer?

      You live, breathe and eat code, and have fun figuring out how to solve problems. And you love living in South America or Eastern Europe. But you don’t feel as fulfilled as your friends in North America.

      I NEED A JOB