Hire Data Engineers Remotely With DistantJob

Looking to hire quality Data Engineers for your business? DistantJob can help you find a Data Engineer in less than two weeks. Our innovative recruitment method focuses on interviewing and testing top-caliber remote candidates with excellent qualifications, and are fluent in English.

    Why Hiring a Data Engineer with DistantJob is a Good Idea?

    1. We focus on helping companies hire remote developers: DistantJob handles your hiring challenges by matching your company with vetted senior-level Data Engineers
    2. We are pocket-friendly; we tap into local markets with lower salary inflation without affecting quality. Your new Data Engineer will get paid above their local average while you reduce the budget.
    3. You’ll be hiring fully committed remote employees with verified skills, working in your time zone

    How Our Process Work

    As a leading remote IT recruitment agency, we care that our clients take part throughout the hiring process. Why? Because for us, recruiting 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 Data Engineer Fast and Easy? Go Remote

    Data must be systematically analyzed in order to be valuable. Based on this analysis, projections and trends are developed, which aid in the assessment or measurement of an initiative’s progress.  And a data engineer is in charge of all of this.

    If you are looking to hire a senior data engieer, you can find hundreds of developers on freelancing platforms such as Fiverr, Upwork, and Toptal, etc. However, you’ll then discover that the majority of those people aren’t well-versed in data engineering. Despite the presence of a sea of so-called developers on such platforms, finding a certified data engineer who is well-versed in his field can be a time-consuming and frustrating task.

    DistantJob bridges the gap between the best data engineer and the hiring manager. We provide you pre-vetted candidates who are a culture-fit as well as experts in data engineering.

    What is a Data Engineer?

    Data engineers create mechanisms and infrastructures to collect, store, and analyze large amounts of data for various purposes.

    Data engineering is a burgeoning field, and almost every company that wishes to expand must employ a data engineer.

    The majority of data engineers have prior experience as software engineers or business intelligence analysts.

    Roles and Responsibilities of a Data Engineer

    Data Engineers’ responsibilities tend to vary depending on his role. Here are some of the major tasks that you can expect as a hiring manager when you hire a data engineer.

    • Sort datasets relevant to a business’s needs
    • Build and maintain data pipelines- a key component of the overall data infrastructure.
    • Ensure that security-related policies are followed.
    • Ensure that policies for data governance are in place.
    • Development of new data analysis and validation systems

    Data Engineer Skills to Look For

    Data engineers must have multiple skills to do complex tasks and work on critical data projects. The following are some of the skills that a good data engineer must have. Don’t forget to check these when you hire a certified data engineer for your business:

    • SQL, Python, Java, R, and Scala are examples of major programming languages.
    • Tableau
    • MS Excel
    • Cloud storage and cloud computing:
    • Use big data tools like MongoDB and Hadoop.
    • Machine Learning
    • Proficiency in ETL systems

    Data Engineer Global Salary Rates

    The average salary of a Data Engineer in the US is $136,000/year. Glassdoor indicates $135,96/year, Talent.com $140,000/year, and Built In $135,080/year. However, the annual salary depends on the geographical area, skill set, work arrangement, and year of experience.

    If you recruit in places outside the US, you can find talented and experienced candidates at affordable costs. In some countries, the living costs are lower. You can offer a convenient contract for a full-time remote position, ensuring a talented addition to your team and reducing your turnover rate. Here is an overview of the annual salary for a Data engineer outside the US:

    • Latin America: $115,962/year (ZipRecruiter)
    • Eastern Europe: $100,000/ year (Trio.dev)
    • Asia: $99,000/year (Glassdoor)

    Benefits of Data Engineering for Your Business

    The value of a certified data engineer is growing day by day. According to LinkedIn’s 2020 emerging job market report, data engineering is one of the top ten fastest-growing job markets. A data engineer makes a clear positive difference in your business.

     

    Evaluate The Status Of A New Project.

    To maintain or even grow as a business in a competitive business world, you must constantly innovate and come up with new and interesting ideas and campaigns.

    This is where a certified data engineer can really help. A data engineer can track all of the data associated with a specific campaign you’ve launched and present it to you in an organized fashion. You can assess the progress of a new campaign using this data. It can also help you decide whether to continue or discontinue a campaign.

    Understanding The Fundamentals Of Business

    Running a large-scale business can be extremely difficult. A data engineer can sort through all of your company’s data with the help of data infrastructure and then provide it to you.

    This provides clarity on the fundamentals of the business. You learn about the most recent tendencies that customers are following. It also aids in the management of human resources.

    Contribution To Business Innovation

    Data engineers convert raw data into useful data by building data pipelines. This ready data is now used by AI systems, analytics, and applications. This is how the best data engineers keep the wheels of innovation moving.

    Competitive Edge with Data-drive Predictions & Insights

    Data engineers and scientists can study large volumes of data to make smart forecasts and predictions. This could be a valuable competitive advantage when you have a business that generates lots of data and is quite dynamic.

    By analyzing past trends and customer behaviour in detail, expert data engineers can create real-world, dynamic models to predict business outcomes. This can help you make better decisions that are informed by data, not whim!

    Ensuring Top-level Data Security

    Data security and privacy has emerged as the top concern for most internet-based businesses. You cannot afford to ignore this aspect as it can also lead to expensive legal affairs.

    Talented data experts can set up robust systems and architecture in the beginning itself so that you do not have to suffer in the long-run. They are experts at scaling and understand the challenges that come with it.

    By hiring data engineers at an early stage itself, you can ensure the best data security features in your software.

    Stay on Top of Data Compliance and Auditing

    Closely related to data security, data compliance has become a critical component of modern businesses. Many countries have their own rules and laws to deal with data regulations.

    A senior data engineer would stay updated on these regulations and ensure that your business is compliant and goes through standard auditing whenever needed. This is critical when your software product is used by millions of people with their sensitive data on your servers.

    Hire a Data Engineers

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