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US Technology Job Listings
Data Science and Analytics
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Free
About
This dataset offers a focused collection of 22,000 US-based technology job listings, meticulously pre-crawled from Dice.com, a prominent job board in the United States. It represents a subset derived from a much larger collection of over 4.6 million job listings. The primary purpose of this dataset is to facilitate in-depth analyses of job descriptions in relation to job titles and required skills within the technology sector. It provides a valuable resource for understanding current trends and requirements in the American tech job market.
Columns
The dataset comprises 12 distinct columns, each providing specific details about the job listings:
- advertiserurl: The direct page URL for the job advertisement.
- company: The name of the hiring company.
- employmenttype_jobstatus: Details on the type of employment offered, such as 'Full Time' or 'Contract W2'.
- jobdescription: A detailed description of the job role and responsibilities.
- jobid: A unique identification number assigned to the job by the company.
- joblocation_address: The geographical address where the job is located.
- jobtitle: The official title of the job position.
- postdate: The date when the job listing was originally posted.
- shift: Information regarding the work timing or shift requirements for the role.
- site_name: The name of the website where the listing originated, such as 'www.dice.com'.
- skills: A list of skills and qualifications necessary for the job.
- uniq_id: A unique identifier assigned to each job listing within this dataset.
Distribution
The dataset is typically provided as a CSV data file, with a sample file updated separately to the platform. It contains 22,000 individual records or rows, structured across 12 columns. The sample file provided is
dice_com-job_us_sample.csv, with a size of 61.31 MB. Specific numbers for all rows and records are available as 22,000.Usage
This dataset is ideally suited for various analytical applications, including:
- Analysing job descriptions in conjunction with job titles to identify common requirements and phrasing.
- Mapping required skills to specific job roles and industries.
- Performing market research on US technology employment trends.
- Developing machine learning models for job recommendation or skill extraction.
- Understanding salary trends (when combined with other data).
Coverage
The dataset focuses exclusively on US-based technology job listings. While specific time ranges are not explicitly stated, the 'postdate' column allows for analysis of posting dates. There are no specific notes on data availability for certain demographic groups or years within the provided information, but the data is collected from a broad public job board.
License
CC BY-SA 4.0
Who Can Use It
This dataset is highly beneficial for:
- Data Analysts: To explore job market dynamics and extract insights.
- Recruiters: To understand skill demand and job title variations.
- Academics and Researchers: For studies on labour markets, AI in recruitment, or skill gap analysis.
- Job Seekers: To understand required skills and job availability for specific roles.
- Software Developers: For training language models or building job search tools.
Dataset Name Suggestions
- US Technology Job Listings
- Dice.com US Tech Jobs
- American IT Employment Data
- US Job Board Technology Listings
- Tech Sector Job Postings USA
Attributes
Original Data Source: US Technology Job Listings
QUALITY