Apache Hadoop Developer Hourly Rate Distribution
Average Hourly Rate:
$81-100Median Hourly Rate:
$61-80How much Apache Hadoop developers charge?
Hadoop, written in Java, was designed in 2010 as a framework for distributed storage and processing of big data. Its primary function is to prevent hardware failures. Some notable users of this framework include Amazon E2C, Microsoft Azure, and Yahoo! On average, full-time Hadoop developers bring in an annual salary between $73,000 and $104,000. For those who freelance, Hadopp developers' hourly rate is around $81-100/hr on average. Also see Java developer hourly rates.
When hiring Apache Hadoop developers, be sure to also consider the difference in hourly rates for different engagement types, such as temp, part-time, and freelance. Developers that are hired for full-time jobs may charge different rates if you want to someone who is available on-site versus fully remote.
Hire top freelance Apache Hadoop developer today
I am a data engineer and Backend Developer with more than 15 years of experience in software development and systems analysis. I have a bachelor's degree in Information System, a master's degree in Computer Science and a PhD in Mechanical Engineering with an emphasis on artificial intelligence. In the first quarter of 2020, finalize a data lake project on AWS to receive data from the industrial sector. I work with technologies such as AWS, Docker, Kubernetes, Java, AngularJS, Angular 8, Python, NodeJS, SpringBoot, PostgreSQL, SQL Server, MYSQL. I have the ability to learn and integrate different technologies.
I am a Software Engineer who has been working with data since 2017. In my career, I have worked on different solutions, such as planning and building a Data Lake on AWS using Delta Lake to store 3D Printer sensor information, and developing a data product to device the optimal energy allocation in Minning facilities reducing the cost of R$1,000,000.00 per year using R. My primary programming language is Python, and I have expertise working with data engineering tools in the AWS environment, like Spark, Airflow, Redshift, EMR, Kinesis, and Lambda. My greatest passion is working with projects that can challenge me and make me a better developer
I believe no technical problem is too big or too small if it makes an impact on the lives or business of others. I'm something of a bug exterminator and find a lot of enjoyment in fixing things, almost as much joy as I find in building fast MVP's for real-world problems. For the past 8 years, I've shaped and built production-scale apps on web and mobile for early-to-mid stage startups, 3 of which went through YC and were well-funded. I've worked on engineering teams at companies as big as Uber and Salesforce, and as small Spiceworks (~300), Umbel (~30), SparkCognition (~12), and TrustedFor (3), myself being the first employee. I also worked as a Product Manager for Gigster in its first year taking over 50 projects to successful completion before starting my own agency.
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“Scale your team while saving time, money, and brainpower”
“Highly skilled and diverse pool of talent at an affordable cost!”
“Quickly delivered candidates that met our very high bar”
“Some of the best hires we’ve ever made!”
“Scale your team while saving time, money, and brainpower”
“Highly skilled and diverse pool of talent at an affordable cost!”
“Quickly delivered candidates that met our very high bar”
“Some of the best hires we’ve ever made!”
How to negotiate Apache Hadoop developer hourly rates?
Whether you already have a development team or want to build a new one, hiring a skilled freelance Apache Hadoop developer can help accelerate your projects. The key factor when considering a freelance Apache Hadoop developer is your budget – how much you have and how much you're willing to invest. The hourly rates of Apache Hadoop developers can vary based on their location and your project's scope.
Let's begin with location. Hiring remote developers offers the advantage of choosing from various geographic locations and time zones that align with your project requirements. For instance, if most of your development team is based in North America, you might want to explore freelance Apache Hadoop developers in the United States, Canada, or Mexico for better worktime overlap. On the other hand, if you're on a tighter budget, consider working with freelance Apache Hadoop developers in South American countries like Argentina, Brazil, or Colombia, or in Asian countries like India, the Philippines, and Malaysia. Hiring freelance developers outside North America often allows for negotiation of lower Apache Hadoop developer hourly rates.
Another significant factor influencing the Apache Hadoop developer hourly rate is your project's scope. Typically, more complex projects mean higher overall costs. However, if you plan to engage with your freelance developer for an extended period, you can discuss a reduced Apache Hadoop developer hourly rate. Providing freelance developers with a consistent flow of projects incentivizes them to lower their hourly rates.
To accurately determine the total cost, have a detailed discussion about your project with your freelance developer. Ensure you convey your ideas comprehensively, which will enable your freelance developer to provide a precise Apache Hadoop developer hourly rate estimate. While estimating development timelines can be challenging for lengthy coding projects, offering the developer as much detail as possible will help align the estimate closely with the actual cost.