Python Developer

₩89,529,982 (KRW)/yr

₩43,043.26 (KRW)/hr

₩3,903,507 (KRW)/yr

The average python developer gross salary in Daegu, South Korea is ₩89,529,982 or an equivalent hourly rate of ₩43,043. This is 3% higher (+₩2,889,644) than the average python developer salary in South Korea. In addition, they earn an average bonus of ₩3,903,507. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Daegu, South Korea. An entry level python developer (1-3 years of experience) earns an average salary of ₩62,896,124. On the other end, a senior level python developer (8+ years of experience) earns an average salary of ₩102,721,069.

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Salary Potential

₩103,896,643 (KRW)

16 %

Based on our compensation data, the estimated salary potential for Python Developer will increase 16 % over 5 years.

Education

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

Typical Field of Study: Computer Programming, Specific Applications

See how education can impact your salary
City Overview

Daegu, South Korea

The cost of living in Daegu, South Korea is 3% more than the average cost of living in South Korea. 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

Daegu (Korean: 대구 [tɛ̝.ɡu]), formerly spelled Taegu and officially Daegu Metropolitan City (대구광역시), is a city in southeastern South Korea. It is the third-largest urban agglomeration in South Korea after Seoul and Busan; the fourth-largest metropolitan city in the nation with over 2.3 million residents; and the second-largest city after Busan in the Yeongnam region in southeastern South Korea. Daegu and the surrounding North Gyeongsang Province are often referred to as Daegu-Gyeongbuk, with a to

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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
Develops, plans, and analyzes Python software programs. Designs software to-spec, runs software and system tests, troubleshoots problems, and verifies bugs. Performs complex release testing and beta/RC support for assigned projects, and resolves problems found in the software. Researches problems discovered by quality assurance team or product support, and develops solutions to those problems.
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