Python Developer
231,739 ر.س. (SAR)/yr
111.41 ر.س. (SAR)/hr
10,104 ر.س. (SAR)/yr
The average python developer gross salary in Al Jubayl, Saudi Arabia is 231,739 ر.س. or an equivalent hourly rate of 111 ر.س.. This is 2% lower (-3,872 ر.س.) than the average python developer salary in Saudi Arabia. In addition, they earn an average bonus of 10,104 ر.س.. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Al Jubayl, Saudi Arabia. An entry level python developer (1-3 years of experience) earns an average salary of 162,765 ر.س.. On the other end, a senior level python developer (8+ years of experience) earns an average salary of 265,741 ر.س..
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259,006 ر.س. (SAR)
12 %
Based on our compensation data, the estimated salary potential for Python Developer will increase 12 % over 5 years.
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- Python Certification
- Ajax Certification
The cost of living in Al Jubayl, Saudi Arabia is 4% less than the average cost of living in Saudi Arabia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageJubail (Arabic: الجبيل, Al Jubayl) is an industrial city in the Eastern province on the Persian Gulf of Saudi Arabia, with a total population of 474,679 as of 2022. It is home to the Middle East's largest and world's fourth largest petrochemical company SABIC. It has the world's largest IWPP (Independent Water and Power Project) producing 2,743.6 MW of electricity and 800,000 m3 of water daily. Jubail comprises the Old Town of Al Jubail (Jubail Balad), which was a small fishing village until 1
Sourced from WikipediaERI'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.
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