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Pandas Developer Salary in the US and UK compare to Ukraine

Pandas Developer Salary in the US

The average Pandas specialist salary in the United States is $47,000 a year and hourly rate is $29. Begginer level positions start at $25,000 a year while most experienced programmers make up to $115,000 a year. These results are based on the salaries selected from Indeed.com job descriptions in June 2018. The most of the developers are needed today in:
New York, NY, San Francisco, CA, Los Angeles, CA

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Latest Pandas Jobs in the US

1 Python Developer - new The individual will be a key member of Data Analytics team and will develop innovative applications to enhance data quality and analytical capabilities for...

2 Sr. SEO Strategist - new Come join our team of digital marketers who work great together to absolutely crush it for our brands – and play hard along the way. To fit in you’ve got to...

3 Help Wanted Now hiring at 147 East Foothill Boulevard,...

4 Research Data Analyst - Ctr. for Health Innovations and Outc... The Center Health Innovations and Outcomes Research (CHIOR) uses epidemiology, statistics and laboratory trials to uncover ways to improve how we deliver care...

5 Data Engineer This is a direct-client opening for a Hadoop Data Engineer located in New York City, NY. This is an Full time job. Our client seeks a Data Engineer to...

Pandas Developer Salary in the UK

The average Pandas consultant salary in England is £41,000 a year and hourly rate is £25. Junior level positions start at £25,000 a year while most experienced experts make up to £65,000 a year. These results are based on the salaries parsed from Indeed.co.uk job descriptions in June 2018. The most of the developers are needed now in:
London, Manchester, Bristol

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Recent Pandas Jobs in the UK

1 Python Developer - new Numpy, Scipy, Pandas, Jupyter, Keras, TensorFlow. Synergetic are looking for experienced Python Developers at all levels to work on a technologies used to...

2 Python Backend/Data Engineer - new Implemented data packages including numpy and pandas. We are an exciting spin out from the University of Oxford using AI to improve the way children learn and...

3 Data Scientist - Customer Economics Experience with statistic/machine learning packages in R or Python, such as scikit-learn, Spark ML, caret & pandas....

4 Nursery Nurse Level 3 Apprentice Generic Responsibilities: To work as part of a team, to provide a safe, stimulating and caring environment which encourages children to learn. To assist the...

5 Head of Data Engineering Experience with Python and packages such as NumPy, pandas, ggplot2, etc. Lead Data Engineer / Manager - Python, Data Science, Data Engineering....

How much do developers make in other technologies? Take a look at ADO.NET, APEX, ASP.NET, TypeScript, Sitecore, ERP, Gulp, LAMP, Azure, Moodle, Phalcon, ElasticSearch, WCF, CouchDB, Wowza, CUDA, Zend

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

Usually hiring managers face the “in-house vs outsource” problem. The biggest mistake CTOs, CEOs, and startup founders make when choosing (and comparing) specialists 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 partner 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$5,250$3,200£4,500£2,400
1 dev/y$63,000$38,400£54,000£28,800
10 devs/m$52,500$32,000£45,000£24,000
10 devs/y$630,000$384,000£540,000£288,000
US = United States, UK = United Kingdom
In this scenario, outsourcing to Ukraine is the most cost-effective choice.

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