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
Experienced Senior Information Technology Engineer with a demonstrated history of working in the information technology and services industry. Highly skilled in Oracle Database, Databases both relational and NoSQL, Data Warehousing, AIX,HP-UX, Solaris,and Linux. Currently working as a cloud and data architect in cloud-based enviroments (AWS, GCP)
I did master’s in computer science and engineering, and executive master’s in business and administration. Having 11+ Years of professional experience in the Information Technology (IT) and Software Development Life Cycle (SDLC). Delivered many successful data warehousing projects in Cloud, ETL and Big Data. Strong in Cloud, Big Data, ETL Technologies, and programming languages such as SQL, PLSQL, Python, Unix Shell Scripting, Java, Scala.
I have been working as an IT professional for six years. With the experience of working in a variety of companies, I am able to understand different platforms and domains. I have worked cross functionally as a data analyst, data architect, data engineer as well as a quality assurance analyst. As a data analyst, I was responsible for building application full automation pipeline for deployment into AWS using Jenkins, Artifactory, Chef and Terraform. I also created Python scripts to: Totally automate AWS services which include S3, SQS, DynamoDB and Lambda, database security groups, S3 bucket and application configuration. This script creates end to end data pipeline to move the metadata from S3 to DynamoDB using SQS and Lambda using Terraform. As a data architect, I elicited and gathered requirements, designed, developed and tested Microsoft SQL Server and Talend ETL data automation solutions for Alignment Common Publish, MDM Common Publish and Veeva. I recommended and established best practices and naming conventions for Talend and SVN. And as a data engineer, I provided leadership for ETL/ELT projects, data modeling, relational database management systems administration, design, development, tuning and implementation for a 4 terabyte Oracle 10g 8 node RAC, Oracle 11g and MySQL environments.
Why Arc is different
“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!”
“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.