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).

This statistic shows data on the average annual salary of (level I) system engineers in data centers in the information and communications technology (ICT) sector in Germany from 2010 to 2016. In 2016, a system engineer (pay grade I) earned an average of ****** euros per year.

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, full-time, females, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

Context:

This dataset provides information on salaries for various data science roles across different countries, experience levels, and company sizes. It includes details such as job titles, employment types, and salary figures in both local and standardized currencies. The data helps analyze trends and patterns in compensation within the global data science industry.

Feature Distribution:

work_year – Contains years (e.g., 2020–2024), showing data across multiple years.

experience_level – Includes categories such as EN (Entry), MI (Mid), SE (Senior), and EX (Executive).

employment_type – Common types: FT (Full-time), PT (Part-time), CT (Contract), FL (Freelance).

job_title – Various roles like Data Scientist, Data Engineer, Machine Learning Engineer, Analyst, etc.

salary – Numeric values representing annual salary in local currency.

salary_currency – Includes currencies such as USD, EUR, INR, GBP, etc.

salary_in_usd – Salary standardized in USD for comparison.

employee_residence – Country codes (e.g., US, IN, GB, DE) showing employee locations.

remote_ratio – Percentage of remote work (0 = Onsite, 50 = Hybrid, 100 = Fully Remote).

company_location – Country codes showing the company’s location.

company_size – Categories: S (Small), M (Medium), L (Large).

👉 Please upvote if you find this dataset useful 🙌

Data-related jobs are considered the most sexiest career of 2021. Because of the increasing demand for data specialists, many professionals expect a very high compensation for performing jobs in this field. Thus we decided to evaluate the impact different variables have on the expected salary, so we could adjust our expectations to the current international market. This is the dataset processed from the Stack overflow Annual Developers Survey.

Explore and please share what you discovered ✌️

Content: 👉 data_survey.csv

This is the data pre-processed from the original dataset with all the Development type converted into dummies variables: - Data Scientist or Machine Learning Specialist | Database Administrator | Data Analyst | Business Analyst and Data Engineer

Together with other variables such as: - Country, Education level, Employment, Job Satisfaction, Organization size, Undergraduate major, Year of coding as professionals

Acknowledgements

• This dataset is processed from the Stack Overflow Annual Survey result from 2017 to 2020
• The original datasets can be found at: https://insights.stackoverflow.com/survey

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...

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

Average salary levels for 2nd Engineer across different vessel types.

I took the average salaries of software developers in Turkey for 2025 and used statistical methods to create 1,000 salary data points. I will make improvements to ensure the data is more consistent.

Average salary levels for 3rd Engineer across different vessel types.

ABOUT DATASET

• work_year: The year the salary was paid.
• experience_level: The experience level in the job during the year with the following possible values: EN - Entry-level / Junior MI - Mid-level / Intermediate SE - Senior-level / Expert EX - Executive-level / Director
• employment_type: The type of employement for the role: PT - Part-time FT - Full-time CT - Contract FL - Freelance
• job_title: The role worked in during the year.
• salary: The total gross salary amount paid.
• salary_currency: The currency of the salary paid as an ISO 4217 currency code.
• salary_in_usd: The salary in USD (FX rate divided by avg. USD rate of respective year) via statistical data from the BIS and central banks.
• employee_residence: Employee's primary country of residence in during the work year as an ISO 3166 country code.
• remote_ratio: The overall amount of work done remotely, possible values are as follows: 0 - No remote work (less than 20%) 50 - Partially remote/hybird 100 - Fully remote (more than 80%)
• company_location: The country of the employer's main office or contracting branch as an ISO 3166 country code.
• company_size: The average number of people that worked for the company during the year: S - less than 50 employees (small) M - 50 to 250 employees (medium) L - more than 250 employees (large)

How much do software services professionals earn in Mexico? According to the data, the average annual salary of a software engineer amounted to ***** thousand Mexican pesos as on January 2022. On the other hand, one of the highest average salaries in the Mexican software services sector was that of a Software architect, totaling *** thousand Mexican pesos a year.

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.

Graph and download economic data for Employed full time: Wage and salary workers: Mechanical engineers occupations: 16 years and over (LEU0254479600A) from 2000 to 2024 about mechanical, engineering, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Average salary levels for 4th Engineer across different vessel types.

This dataset provides a detailed look into the salary trends of engineering graduates. It includes various factors such as the field of engineering, the university from which the degree was obtained, the year of graduation, the location of employment, the employing company, the job title, the starting salary, the current salary, and the years of experience in the field. This data can be used to analyze and understand the patterns and trends associated with the salaries of engineering graduates. It’s important to note that all data is anonymized to protect the privacy of the individuals involved. The dataset serves as a valuable resource for researchers, data scientists, and industry professionals. It can help in developing effective career guidance strategies, wage negotiation tactics, and predictive models for future salary trends. Please remember to use this data responsibly.

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.

Data-Professional-Survey

📊 Customer Sales Dashboard

https://github.com/ShadowRanger100/Data-Professional-Survey

🔍 Overview

This Power BI dashboard provides insights into customer sales patterns using an Excel dataset.

📁 Files

• Project 1 - Data Survey.pbix: Main Power BI dashboard file
• Power BI - Final Project.xlsx: Dataset used in the project

🛠️ Tools Used

• Power BI Desktop
• Excel

📈 Key Insights

Key Insights from the Dashboard 🌍 Country of Survey Takers Majority of respondents are from the United States, followed by India and other regions.

Indicates a globally diverse dataset with a strong U.S. representation.

💼 Average Salary by Job Title Data Scientists earn the highest average salary among roles.

Data Engineers and Data Architects also command strong salaries.

Students and Database Developers have the lowest average salaries, suggesting entry-level or niche positioning.

🧠 Difficulty to Break into Data Roles ~42.7% of respondents feel it's neither easy nor difficult to enter the data field.

~24.8% found it difficult, while only a small percentage (~7%) found it very difficult.

Overall, most respondents find the field accessible with moderate challenges.

🧪 Favorite Programming Languages Python dominates as the most popular programming language across all roles.

R and SQL-based languages (e.g., C/C++) follow, with JavaScript and Java trailing.

Strong Python preference reflects current industry trends.

😊 Job Satisfaction Work-Life Balance rated 5.74 / 10 on average.

Happiness with Salary rated lower, at 4.27 / 10.

Suggests a gap in salary satisfaction even among professionals who might enjoy good balance.

👥 Demographics Total respondents: 630

Average age: ~29.87 years, indicating a relatively young professional population.

📷 Dashboard Preview

![Dashboardhttps://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F14595425%2F19dae47aad28964633a520ce33da126d%2FScreenshot%202025-06-09%20011628.png?generation=1749550844766723&alt=media" alt=""> Screenshot]

In 2020, the average annual gross salary of employees working in the engineering industry in Italy was considerably higher for men. According to data provided by JobPricing, the average annual gross salary of men working in the engineering industry was of **** thousand euros, which was *** thousand euros more than the average annual gross salary of Italian women working in the same sector.

Indonesian JobStreet Salary & Hybrid Recommendation Dataset

Overview

The Indonesian JobStreet Salary & Hybrid Recommendation Dataset is a comprehensive, machine learning–ready dataset containing aggregated salary information from JobStreet Indonesia job postings. It was developed through a data scraping and hybrid recommendation system approach to identify average salaries across various job titles, companies, and regions in Indonesia.

This dataset is ideal for salary prediction, labor market analytics, career recommendation systems, and data-driven HR insights.

Dataset Information

• Total Records: 32,976 job postings
• Time Period: JobStreet Indonesia scraping dataset (2024)
• Geographic Coverage: Indonesia (606 unique locations)
• File Format: CSV
• File Size: ~7.8 MB
• Missing Values: None (100% complete dataset)
• Duplicates: Some overlapping listings between companies and job categories
• Target Variable: Gaji_Rata2 (Average monthly salary in IDR)

Key Features

💼 Job Classification

• Unique Job Titles: 8,686
• Unique Companies: 4,969
• Unique Locations: 606
• Average Salary (Gaji_Rata2): IDR 7.24 million/month
• Salary Range: From entry-level to executive-level roles
• Data Source: JobStreet Indonesia (public postings)

⚙️ Data Preparation

• Job data scraped from JobStreet Indonesia job listings in 1 Month on 2024
• Salaries standardized and averaged across identical job titles
• Aggregation and smoothing performed using hybrid recommender modeling (content-based + collaborative filtering)

Feature Description

Data Quality Assessment

• ✅ Zero missing values — dataset is 100% complete
• ✅ Structured and cleaned schema (uniform columns)
• ⚠️ Some duplicates may occur due to overlapping job postings
• 📊 High diversity across job types and cities
• 🇮🇩 Fully localized — all data from JobStreet Indonesia only

Machine Learning Applications

• Salary Prediction: Predict average salary by job title, company, or region
• Career Recommender Systems: Build hybrid models to suggest similar or higher-paying jobs
• Market Analytics: Analyze salary trends by location or sector
• NLP Job Classification: Cluster similar job roles using semantic text embeddings
• HR Decision Support: Compare salary averages across industries

Citation

Original Source: JobStreet Indonesia (public job listings)

License: CC BY 4.0 (Attribution required)

Version: 1.0 (2024)