Developer Algorithm

72.169 € (EUR)/yr

34,70 € (EUR)/hr

3.226 € (EUR)/yr

The average developer algorithm gross salary in Vicenza, Italy is 72.169 € or an equivalent hourly rate of 35 €. This is 5% higher (+3.655 €) than the average developer algorithm salary in Italy. In addition, they earn an average bonus of 3.226 €. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Vicenza, Italy. An entry level developer algorithm (1-3 years of experience) earns an average salary of 50.395 €. On the other end, a senior level developer algorithm (8+ years of experience) earns an average salary of 81.400 €.

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Salary Potential

81.483 € (EUR)

13 %

Based on our compensation data, the estimated salary potential for Developer Algorithm will increase 13 % over 5 years.

Education

This chart displays the highest level of education for:
Developer Algorithm, the majority at 100% with bachelors.

Typical Field of Study: Computer Programming, Specific Applications

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City Overview

Vicenza, Italy

The cost of living in Vicenza, Italy is 2% more than the average cost of living in Italy. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.

View Cost of Living Page

Vicenza ( vih-CHENT-sə, Italian: [viˈtʃɛntsa] ; Venetian: Vicença or Vicensa [viˈtʃeŋsa], archaically Vixenza [viˈzeŋ(t)sa]) is a city in northeastern Italy. It is in the Veneto region, at the northern base of the Monte Berico, where it straddles the River Bacchiglione. Vicenza is approximately 60 kilometres (37 mi) west of Venice and 200 kilometres (120 mi) east of Milan. Vicenza is a thriving and cosmopolitan city, with a rich history and culture, and many museums, art galleries, piazzas, vill

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Disclaimer
This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

ERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.

Job Description
Designs, develops and implements new algorithms and tools. Conducts routine and non-routine testing on existing algorithms to identify bugs and areas for optimization. Documents algorithm implementation, user requirements and specifications.
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