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

Explore the progression of average salaries for graduates in Geographic Information Systems And Geography from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geographic Information Systems And Geography relative to other fields. This data is essential for students assessing the return on investment of their education in Geographic Information Systems And Geography, providing a clear picture of financial prospects post-graduation.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information systems and computer science in the U.S.

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information systems concentration in computer information systems in the U.S.

Explore the progression of average salaries for graduates in Geography Wemphasis In Geographic Information System Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geography Wemphasis In Geographic Information System Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Geography Wemphasis In Geographic Information System Gis, providing a clear picture of financial prospects post-graduation.

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

Explore the progression of average salaries for graduates in Geography And Geographical Information Systems from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geography And Geographical Information Systems relative to other fields. This data is essential for students assessing the return on investment of their education in Geography And Geographical Information Systems, providing a clear picture of financial prospects post-graduation.

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

A dataset that explores Green Card sponsorship trends, salary data, and employer insights for bs majorconcentration geographic information science in the U.S.

Explore the progression of average salaries for graduates in Spatial Analysis And Geographic Information Systems from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Spatial Analysis And Geographic Information Systems relative to other fields. This data is essential for students assessing the return on investment of their education in Spatial Analysis And Geographic Information Systems, providing a clear picture of financial prospects post-graduation.

Explore the progression of average salaries for graduates in Cartography And Geographical Information System from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Cartography And Geographical Information System relative to other fields. This data is essential for students assessing the return on investment of their education in Cartography And Geographical Information System, providing a clear picture of financial prospects post-graduation.

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).

The County of Suffolk Annual Salaries File for the Year 2023 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

As of January 7, 2025, several Miami-Dade County departments transitioned to become independent constitutional offices. These offices include:Sheriff's OfficeSupervisor of ElectionsProperty AppraiserOffice of the Tax CollectorClerk of the Court and ComptrollerEmployees from these departments are now employed directly by their respective constitutional offices, with their positions, pay, benefits, and seniority carrying over without interruption. Participation in the Florida Retirement System (FRS) and the Deferred Retirement Option Program (DROP) continues seamlessly.Miami-Dade County provides a public Employee Salary Search tool that allows you to view county employee compensation details, including bi-weekly gross pay, annual salary, and year-to-date totals. You can search by employee name, title, department or salary.Please note that while the constitutional offices are now independent, they may still provide access to similar salary information through their own channels. For the most accurate and up-to-date information, it's advisable to contact the specific constitutional office directly.

Competency Management Software Market size was valued at USD 14.8 Billion in 2024 and is expected to reach USD 23.4 Billion by 2032, growing at a CAGR of 5.7% from 2026 to 2032.Global Competency Management Software Market DriversIncreasing Focus on Skill Development : Workforce upskilling and reskilling projects have been prioritized by businesses worldwide. Competency software is used to measure and manage employees' changing skill sets.Increasing Adoption of Digital HR Tools: HR departments are digitizing processes for performance tracking and development planning. Competency management platforms are integrating into larger HR technology stacks.

H-1B visa sponsorship trends for Computer And Information Systems Manage, covering top employers, salary insights, approval rates, and geographic distribution. Explore how occupation impacts the U.S. job market under the H-1B program.

The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

H-1B visa sponsorship trends for Information Technology Project Manager, 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.

H-1B visa sponsorship trends for Information Technology Project Manage, covering top employers, salary insights, approval rates, and geographic distribution. Explore how occupation impacts the U.S. job market under the H-1B program.

Explore the progression of average salaries for graduates in Geographic Information Systems Minor Computer Science from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geographic Information Systems Minor Computer Science relative to other fields. This data is essential for students assessing the return on investment of their education in Geographic Information Systems Minor Computer Science, providing a clear picture of financial prospects post-graduation.