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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 $46,000 a year and hourly rate is $28. Begginer level positions start at $25,000 a year while most experienced programmers make up to $110,000 a year. These results are based on the salaries selected from Indeed.com job descriptions in April 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 Help Wanted - new Now hiring at 2465 Main Street,...

2 Sever/Cashier - new Restaurant/Serving experience preferred, but not required...— Panda Kitchen chinese restaurant fast food 217 S Meridian Ave Vally Center KS 67147...

3 AWS Big Data/Hadoop/Pythan Cosultant - new , NumPy & pandas. TechnoLogiX is looking for senior level *AWS Big Data/Hadoop*....

4 Crew Member Panda Express Service Team member is responsible to provide quality service to guests at food counter: ( The essential functions in this job description are not all...

5 Data Science Software Engineer Our Company: Ridias is a next generation IoT sensor based artificial intelligence company. We collect, process, and analyze IoT sensor data generated...

Pandas Developer Salary in the UK

The average Pandas consultant salary in England is £40,000 a year and hourly rate is £25. Junior level positions start at £25,000 a year while most experienced experts make up to £60,000 a year. These results are based on the salaries parsed from Indeed.co.uk job descriptions in April 2018. The most of the developers are needed now in:
London, Manchester, Merseyside

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Recent Pandas Jobs in the UK

1 Data Scientist Experience writing code/software for numerical analysis using Python (Numpy, Pandas, Scikit learn), Scala or R....

2 Operations Analyst Experience with numpy, pandas, matplotlib and able to write clean, object-oriented code. The operation analyst provides the opportunity to work with the latest...

3 Senior Data Engineer (Spark/Kinesis/Hadoop/AWS/Agile) Senior Data Engineer (Spark/Kinesis/Hadoop/AWS/Agile) - Bristol - cNegotiable plus benefits Our global client are looking for an experienced and motivated...

4 LEAD DATA ENGINEER + ARCHITECT - PYTHON, SPARK, AWS Be responsible for evolving the exisitng ETL pipelines (python + luigi + pandas) and the AWS redshift database....

5 Python Developer Data - Hedge Fund Python Developer (Data Pandas NumPy Linux Docker). Strong Python development skills including Pandas and NumPy....

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$5,125$3,200£4,375£2,400
1 dev/y$61,500$38,400£52,500£28,800
10 devs/m$51,250$32,000£43,750£24,000
10 devs/y$615,000$384,000£525,000£288,000
US = United States, UK = United Kingdom
In this scenario, outsourcing to Ukraine is the most cost-effective choice.

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