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Hadoop Developer Salary in the US and UK compare to Ukraine

Hadoop Developer Salary in the US

The average Hadoop expert salary in America is $119,000 a year and hourly rate is $73. Begginer level positions start at $50,000 a year while most experienced experts make up to $150,000 a year. These results are based on the salaries parsed from Indeed.com job descriptions in April 2018. The most of the developers are required today in:
New York, NY, San Francisco, CA, Seattle, WA

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Recent Hadoop Jobs in the US

1 Hadoop Developer - new Hadoop Developer Location: Plano , TX Need Locals Inperson Interview Duration: 2+ years of Contract As Senior Data Engineer on the Monitoring...

2 Hadoop Developer Expert level experience in Hadoop eco-system (HDFS, Map Reduce, YARN). Proven ability in developing code in Hadoop using Hive, Sqoop, HBase, Spark (Scala) •...

3 Data Engineer Amazon is a place where data drives most of our decision-making. AVS Certification team is looking for a dynamic data analyst who can be innovative, good...

4 Data Engineer - new A Healthcare Provider in McLean, VA is looking to onboard a Data Engineer to join their team. This team leverages the power of predictive analytics and Machine...

5 Data Engineer We are seeking a high caliber Data Engineer to help our client take their ETL game (and yours) to the next level. Lots of cool data and tech to work with....

Hadoop Developer Salary in the UK

The average Hadoop programmer salary in the United Kingdom is £60,000 a year and hourly rate is £37. Entry level positions start at £40,000 a year while most experienced developers make up to £90,000 a year. These statistics are based on the salaries selected from Indeed.co.uk job descriptions in April 2018. The most of the developers are required today in:
London SE1, England, Manchester

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Recent Hadoop Jobs in the UK

1 Systems Architect - new Experience with Hadoop, MapReduce. The online travel market never stands still....

2 Senior Data Engineer The main focus of the project is on migrating from Oracle ODI to the Hadoop stack. Senior Data Engineer....

3 Software/Systems Engineer - new Software/Systems Engineer - Permanent - Reading - DV Clearance We are seeking an enthusiastic problem solver, with a passion for technology and IT, to...

4 Machine Learning Engineer - new At TokenAnalyst we are building the intelligence layer for blockchain. We are one of the first providers of on-chain data (data that lives on the blockchain)...

5 Lead Backend Engineer - new At TokenAnalyst we are building the intelligence layer for the blockchain. We are one of the first providers of on-chain data (data that lives on the...

How much do developers make in other technologies? Take a look at Concrete5, Socket.IO, Sails.js, ReactJS, Symfony, ElasticSearch, Phalcon, Redux, PhantomJS, JavaFX, Yii, TypeScript, SAP, JBoss, Vaadin, CoffeeScript

The True Cost of Hiring an In-house vs Remote Hadoop Developer in Ukraine

Usually hiring managers face the “in-house vs outsource” dilemma. The biggest mistake CTOs, CEOs, and startup founders make when selecting (and comparing) experts is: they shut eyes to the embedded costs. Actually, there are numerous and substantial costs involved in hiring and maintaining employees. An in-house developer (or any employee) is always more expensive than his salary when you factor in embedded costs which aren’t reflected in the employee’s salary:
  • employee benefits (+10%)
  • administration and infrastructure (+10%)
  • paid leaves (+10%)
  • training (+5%)
  • management (+5%)
  • recruitment (+10%)

The outsourcing firm has the same embedded costs (though maybe in less amounts). The only difference is it had already factored these costs into its price quote. So, let’s take a fresh look at the adjusted (salary + 50%) numbers.

PeriodUS vs UkraineUK vs Ukraine
1 dev/m$14,250$3,200£6,875£2,400
1 dev/y$171,000$38,400£82,500£28,800
10 devs/m$142,500$32,000£68,750£24,000
10 devs/y$1,710,000$384,000£825,000£288,000
US = United States, UK = United Kingdom
In this scenario, outsourcing to Ukraine is the most cost-effective choice.

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