This dataset provides insights into data engineer salaries and employment attributes for the year 2024. It includes information such as salary, job title, experience level, employment type, employee residence, remote work ratio, company location, and company size.

The dataset allows for analysis of salary trends, employment patterns, and geographic variations in data engineering roles. It can be used by researchers, analysts, and organizations to understand the evolving landscape of data engineering employment and compensation.

Feature Description:

• work_year: The year in which the data was collected (2024).
• experience_level: The experience level of the employee, categorized as SE (Senior Engineer), MI (Mid-Level Engineer), or EL (Entry-Level Engineer).
• employment_type: The type of employment, such as full-time (FT), part-time (PT), contract (C), or freelance (F).
• job_title: The title or role of the employee within the company, for example, AI Engineer.
• salary: The salary of the employee in the local currency (e.g., 202,730 USD).
• salary_currency: The currency in which the salary is denominated (e.g., USD).
• salary_in_usd: The salary converted to US dollars for standardization purposes.
• employee_residence: The country of residence of the employee.
• remote_ratio: The ratio indicating the extent of remote work allowed in the position (0 for no remote work, 1 for fully remote).
• company_location: The location of the company where the employee is employed.
• company_size: The size of the company, often categorized by the number of employees (S for small, M for medium, L for large).

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Engineers, all other occupations: 16 years and over: Women (LEU0254747000A) from 2000 to 2024 about engineering, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data engineer ii in the U.S.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for data engineer in the U.S.

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A dataset that explores Green Card sponsorship trends, salary data, and employer insights for senior data engineer in the U.S.

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Content:

The 2024 dataset on data developer salaries and employment attributes offers valuable insights into the evolving landscape of data developers. It includes key variables such as salary, job title, experience level, employment type, employee residence, remote work ratio, company location, and company size. This data enables detailed analysis of salary trends, employment patterns, and geographic variations in data developer roles. Researchers, analysts, and organizations can leverage this dataset to better understand compensation trends, the distribution of data developer roles across different regions, and the impact of remote work and company size on employment in this field.

Feature Description:

experience_level: Level of professional experience (e.g., junior, mid, senior).

employment_type: Type of job contract (e.g., full-time, part-time, contract).

job_title:The specific role or title of the employee (e.g., Data Engineer).

salary: The compensation received, in the original currency.

salary_currency:The currency in which the salary is paid.

salary_in_usd:The salary converted into US dollars for comparison.

employee_residence: The location where the employee resides.

remote_ratio: Percentage of work done remotely.

company_location: The geographical location of the company.

company_size: The scale of the company, often based on employee count.

Dataset Strecture:

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In 2021, the average salary of an IT professional who held a Google Cloud Certified Professional Data Engineer certification stood at 171,794 U.S. dollars. The other Google certification Google Certified Professional Cloud Architect was the second top-paying certification, with an average salary of 169,029 U.S. dollars.

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Graph and download economic data for Employed: Workers paid hourly rates: Wage and salary workers: Architecture and engineering occupations: 16 years and over (LEU0204834800A) from 2000 to 2024 about architecture, engineering, paid, occupation, salaries, workers, hours, 16 years +, wages, employment, rate, and USA.

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H-1B visa sponsorship trends for Senior Data Engineer, covering top employers, salary insights, approval rates, and geographic distribution. Explore how job title impacts the U.S. job market under the H-1B program.

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Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Industrial engineers, including health and safety occupations: 16 years and over (LEU0254532700A) from 2000 to 2024 about safety, engineering, second quartile, occupation, full-time, health, salaries, workers, earnings, 16 years +, wages, median, employment, industry, and USA.

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