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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About Dataset

Context

Analytics refers to the methodical examination and calculation of data or statistics. Its purpose is to uncover, interpret, and convey meaningful patterns found within the data. Additionally, analytics involves utilizing these data patterns to make informed decisions. It proves valuable in domains abundant with recorded information, employing a combination of statistics, computer programming, and operations research to measure performance.

Businesses can leverage analytics to describe, predict, and enhance their overall performance. Various branches of analytics encompass predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Due to the extensive computational requirements involved (particularly with big data), analytics algorithms and software utilize state-of-the-art methods from computer science, statistics, and mathematics.

Data Dictionary

Content

This Dataset contains information of 22700+ Software Professionals with different features like their Salaries (₹), Name of the Company, Company Rating, Number of times Salaries Reported, and Location of the Company.

Extra Features Added: 1. Employment Status 2. Job Roles

Acknowledgements

This Dataset is created from https://www.glassdoor.co.in/. If you want to learn more, you can visit the Website.

Roles Included:

Android Developer Android Developer - Intern Android Developer - Contractor Android Developer Contractor Senior Android Developer Android Software Engineer Android Engineer Android Applications Developer - Intern Android Applications Developer Android App Developer - Intern Senior Android Developer and Team Lead Android Tech Lead Product Engineer (Android) Software Engineer - Android Android Software Developer Android Software Developer - Intern Senior Android Developer Contractor Junior Android Developer - Intern Junior Android Developer Android Applications Developer - Contractor Android App Developer Lead Android Developer Android Engineer - Intern Sr. Android Developer Senior Android Engineer Senior Software Engineer - Android Android - Intern Android Android & Flutter Developer - Intern Associate Android Developer Senior Android Applications Developer Android Developer Trainee Sr Android developer Android Trainee Android Trainee - Intern Trainee Android Developer Android Lead Android Lead Developer Android Development - Intern Android Development Android Team Lead Senior, Android Developer Lead Android Engineer Tech Lead- Android Applications Developer Senior Android Software Developer Full Stack Android Developer Android Framework Developer Android Architect Android & Flutter Developer Senior Software Engineer, Android Android App Development Sr Android Engineer Android Team Leader Android Technical Lead SDE2(Android) Web Developer/Android Developer - Intern Android Applications Develpoers Android Platform Developer - Intern Android Test Engineer Senior Engineer - Android Android Framework Engineer Game Developer ( Android, Windows) Android Testing Senior Software Engineer (Android/Mobility) Ace - Android Development Software Developer (Android) - Intern Android Mobile Developer Android and Flutt...

Developer Salaries - Norway 2024

This dataset is from kode24's 2024 salary survey.
It includes salary information for 2,682 developers working in Norway who reported their salaries for 2024.

Columns:

1. kjønn: Gender of the respondent (e.g., "mann" for male, "kvinne" for female).
2. utdanning: Level of education, represented numerically:
   • 4: Bachelor's degree
   • 5: Master's degree
   • Other values represent different educational levels.
3. erfaring: Years of professional experience in the field.
4. arbeidssted: Region where the respondent works (e.g., "Oslo," "Agder," "Nordland").
5. arbeidssituasjon: Employment type and sector, combining work setting and sector (e.g., "in-house, privat sektor," "konsulent," "offentlig/kommunal sektor").
6. fag: Area of expertise or specialization (e.g., "AI / maskinlæring" for AI and machine learning).
7. lønn: Annual salary in Norwegian Krone (NOK).
8. bonus?: Indicates whether the respondent receives a bonus ("Ja" for yes, "Nei" for no).

Graph and download economic data for Employed full time: Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over (LEU0254477200A) from 2000 to 2019 about software, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over (LEU0254530600A) from 2000 to 2019 about second quartile, software, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

U.S. Software Developer Salaries

Analyzing Regional Variations

By [source]

About this dataset

This dataset provides an extensive look into the financial health of software developers in major cities and metropolitan areas around the United States. We explore disparities between states and cities in terms of mean software developer salaries, median home prices, cost of living avgs, rent avgs, cost of living plus rent avgs and local purchasing power averages. Through this data set we can gain insights on how to better understand which areas are more financially viable than others when seeking employment within the software development field. Our data allow us to uncover patterns among certain geographic locations in order to identify other compelling financial opportunities that software developers may benefit from

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Featured Notebooks

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How to use the dataset

This dataset contains valuable information about software developer salaries across states and cities in the United States. It is important for recruiters and professionals alike to understand what kind of compensation software developers are likely to receive, as it may be beneficial when considering job opportunities or applying for a promotion. This guide will provide an overview of what you can learn from this dataset.

The data is organized by metropolitan areas, which encompass multiple cities within the same geographical region (e.g., “New York-Northern New Jersey” covers both New York City and Newark). From there, each metro can be broken down further into a number of different factors that may affect software developer salaries in the area:

• Mean Software Developer Salary (adjusted): The average salary of software developers in that particular metro area after accounting for cost of living differences within the region.
• Mean Software Developer Salary (unadjusted): The average salary of software developers in that particular metro area before adjusting for cost-of-living discrepancies between locales.
• Number of Software Developer Jobs: This column lists how many total jobs are available to software developers in this particular metropolitan area.
• Median Home Price: A metric which shows median value of all homes currently on the market within this partcular city or state. It helps gauge how expensive housing costs might be to potential residents who already have an idea about their income/salary range expectations when considering a move/relocation into another location or potentially looking at mortgage/rental options etc.. 5) Cost Of Living Avg: A metric designed to measure affordability using local prices paid on common consumer goods like food , transportation , health care , housing & other services etc.. Also prominent here along with rent avg ,cost od living plus rent avg helping compare relative cost structures between different locations while assessing potential remunerations & risk associated with them . 6)Local Purchasing Power Avg : A measure reflecting expected difference in discretionary spending ability among households regardless their income level upon relocation due to price discrepancies across locations allows individual assessment critical during job search particularly regarding relocation as well as comparison based decision making across prospective candidates during any hiring process . 7 ) Rent Avg : Average rental costs for homes / apartments dealbreakers even among prime job prospects particularly medium income earners.(basis family size & other constraints ) 8 ) Cost Of Living Plus Rent Avg : Used here as one sized fits perspective towards measuring overall cost structure including items

Research Ideas

• Comparing salaries of software developers in different cities to determine which city provides the best compensation package.
• Estimating the cost of relocating to a new city by looking at average costs such as rent and cost of living.
• Predicting job growth for software developers by analyzing factors like local purchasing power, median home price and number of jobs available

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking perm...

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Industrial Development Agencies that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

United States - Employed full time: Wage and salary workers: Web developers occupations: 16 years and over was 144.00000 Thous. of Persons in January of 2019, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Web developers occupations: 16 years and over reached a record high of 164.00000 in January of 2018 and a record low of 117.00000 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Web developers occupations: 16 years and over - last updated from the United States Federal Reserve on December of 2025.

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Local Development Corporations that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

The average annual salary of a Data Architect in India was estimated to be over *********** Indian rupees per annum, the highest among other jobs in the Data Science sector in India. It was followed by data Scientist and Database Developer roles.

Graph and download economic data for Employed full time: Wage and salary workers: Web developers occupations: 16 years and over (LEU0257861600A) from 2011 to 2019 about web developers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

This dataset contains salary survey data for web developers (Back-end- Front-end - Full-Stack) in Egypt for the year 2024. The dataset encompasses various aspects of the profession, including:

Title: Job title or position of the developer . Salary Years of Experiences
Work Hour ( Part-time / Full-Time) Work Type (Onsite / remotely / Hybrid ) Company Nationality
Company site

This dataset was compiled through a comprehensive survey targeting All Developers in Egypt

United States - Employed full time: Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over: Men was 1379.00000 Thous. of Persons in January of 2019, according to the United States Federal Reserve. Historically, United States - Employed full time: Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over: Men reached a record high of 1379.00000 in January of 2019 and a record low of 523.00000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Employed full time: Wage and salary workers: Software developers, applications and systems software occupations: 16 years and over: Men - last updated from the United States Federal Reserve on October of 2025.

Scope: Analyze Developer salaries in Norway for the year 2024 and identify which specializations offer the highest earnings.

Tools: Free resources such as Jupyter Notebook, Google Colab, Kaggle’s free datasets, and ChatGPT.

Project Conclusion:

a. Conclusion on the Highest-Paying Specialization: To identify the highest-paying specialization, it's essential to cross-reference "Specialization" with "Annual_salary." Specializations such as AI/Machine Learning and Software Architecture are likely among the most well-paid.

b. Oslo and Key Specializations Stand Out: Roles in AI/Machine Learning and Software Architecture, particularly in Oslo, are among the most profitable. Factors such as experience and employment type (consultant or freelance) also contribute to higher salaries. However, potential inequalities in salaries by gender and region are notable.

c. Insights from the Correlation Matrix: Work experience is the most influential factor in determining annual salaries, while education has a significantly smaller impact in this context. Although salaries are partly driven by experience, other external variables (such as region, specialization, employment type, etc.) likely play a key role.

d. Professional Distribution by Specialization:

Backend: The largest group of professionals (536), suggesting it is a popular specialization. Management/Administrative (148) and DevOps/Operations (134) also have a significant number of workers. Embedded/IoT/Hardware (23) has the fewest professionals, which may explain the higher salaries due to its high specialization and limited supply.

e. Specializations with High Salaries but Low Participation:

Embedded/IoT/Hardware: Despite having only 23 professionals, it boasts one of the highest salaries, with a maximum of NOK 2,600,000, indicating demand surpasses supply in this niche. Security: Offers a competitive average salary of NOK 927,034, likely reflecting the critical importance of cybersecurity in today's market.

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

This statistic shows data on the average annual salary of (level IV) software engineers in the information and communications technology (ICT) industry in Germany from 2011 to 2016. In 2016, a level IV software engineer in Germany earned an average of ****** euros per year.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of software publishers (NAICS 51121), data processing, hosting, and related services (NAICS 51821), and computer systems design and related services (NAICS 54151), annual, for five years of data.

TeamStation AI System Report on LATAM IT Salaries 2024 A Comprehensive Analysis of Salary Trends in Latin America’s IT Sector

Introduction The 2024 TeamStation AI Salary Report provides a comprehensive analysis of IT salary structures in 19 Latin American countries, offering scientific insights into compensation trends across various job roles, experience levels, and contract types. This report leverages 1,521 salary records collected from real hiring data, offering the most precise, non-biased compensation insights in the region​

Key Findings 1. Salary Breakdown by Country Three countries lead in IT talent representation:

🇲🇽 Mexico 🇨🇴 Colombia 🇦🇷 Argentina Brazil and Chile also emerge as key players, showcasing robust demand for high-level AI, ML, and DevOps professionals. Meanwhile, Uruguay and Costa Rica provide a cost-effective alternative for high-skilled developers​

1. Role-Based Salary Trends The six most common roles in the LATAM IT market are:

Full-Stack Developer Front-End Developer Back-End Developer App Developer DevOps Engineer Data Engineer Additionally, AI, MLOps, and Cloud Engineers are seeing increasing demand, commanding salaries up to 60% higher than other IT positions​

1. Salary Ranges by Experience Level Salaries vary significantly based on seniority and contract type:

Junior Developers: $10,000 – $30,000 per year Mid-Level Developers: $20,000 – $50,000 per year Senior Developers: $25,000 – $100,000 per year (with some AI engineers exceeding this range) Full-time contracts pay the highest salaries, while freelance engagements have lower total compensation, but can reach premium rates for niche AI/ML expertise​

1. Key Statistical Insights Average salary across all roles: $30,470.02 USD Standard deviation: $56,817.32 USD (showing large variances based on expertise and role) Minimum salary recorded: $500 USD Maximum salary recorded: $800,000 USD Salary percentiles: 25th percentile: $7,000 USD 50th percentile (median): $16,300 USD 75th percentile: $36,000 USD These figures indicate a wide salary stratification, especially for senior roles and AI-related positions​ .

2. Contract Type & Compensation Salaries vary based on contract type:

Full-time developers earn higher base salaries with benefits. Freelancers earn lower annual salaries but some charge premium hourly rates in AI, Cloud, and DevOps. Mid and senior-level engineers prefer full-time contracts for higher pay and stability​ . Regional Salary Insights Highest-paying regions: 🇨🇱 Chile, 🇧🇷 Brazil, 🇲🇽 Mexico. Mid-range salaries: 🇨🇴 Colombia, 🇦🇷 Argentina. Cost-effective hiring: 🇺🇾 Uruguay, 🇨🇷 Costa Rica​ . Strategic Takeaways AI & MLOps engineers are the most expensive to hire in Mexico, Brazil, and Chile. Cloud, DevOps, and AI roles are seeing the fastest growth in salary demand. Best locations for cost-effective hiring: Colombia, Argentina, Uruguay. AI-driven hiring platforms like TeamStation AI reduce time-to-hire and salary mismatches​

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

This statistic displays the salary of web developer employees in Italy in 2016, broken down by professional seniority and category. According to data, the highest salary was among those who had worked for more than five years, with an average of ****** euros per year, followed by those who had worked between 3 and 5 years (****** euros).