Opendatabay APP

Global Blockchain Employment and Salary Data

Crypto & Blockchain Transactions

Tags and Keywords

Blockchain

Cryptocurrency

Salaries

Hiring

Web3

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Global Blockchain Employment and Salary Data Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

Gain vital insights into the dynamics of the blockchain and cryptocurrency employment landscape with data spanning from 1st January 2018 to 31st December 2019. Gathered from 75 different websites, including cryptojobslist.com, this collection captures the trends of a burgeoning industry ranging from early-stage startups to established enterprises. The records offer a granular view of the market, tracking essential metrics such as job titles, salary ranges, skill tags, and company funding details. This resource allows for deep analysis of hiring patterns, skill demand, and remuneration standards within the Web3 sector during a pivotal two-year period.

Columns

The dataset consists of multiple files including companies.csv, all_jobs.csv, and individual company files (e.g., Binance.csv, Coinbase.csv). Key columns include:
companies.csv
  • Crunchbase Rank: The company's ranking on Crunchbase (Integer).
  • Company Name: The name of the organisation (String).
  • Total Funding: The total amount of capital raised by the company (String).
  • Number of Employees: The total workforce count of the company (Integer).
all_jobs.csv and Individual Company Files
  • Company Name: The name of the hiring entity (String).
  • Job Link: A direct URL to the specific job posting (String).
  • Job Location: The geographic location of the role (String).
  • Job Title: The designation or title of the position (String).
  • Salary Range: The advertised compensation bracket for the role (String).
  • Tags: Keywords and skills associated with the job (e.g., "marketing:non tech", "Senior Smart Contract Engineer") (String).
  • Posted Before: The date or relative time when the job was originally posted (Date/String).

Distribution

  • Format: CSV (Comma Separated Values).
  • Structure: The data is organised into summary files (all_jobs.csv, companies.csv) and separate CSV files for specific companies (e.g., Aave.csv, Ripple.csv, Consensys.csv).
  • Size: Contains information from 75 sources; specific row counts vary by file (e.g., Aave.csv contains 53 valid records).
  • Update Frequency: Never (Static historical dataset).

Usage

  • Market Trend Analysis: Track the volume of job postings over time to identify growth periods in the Web3 sector.
  • Salary Benchmarking: Analyse compensation trends across different roles and companies to establish industry standards.
  • Skill Demand Research: Utilise the 'Tags' column to identify the most sought-after technical and non-technical skills.
  • Corporate Growth Tracking: Correlate funding amounts and employee counts with hiring velocity for specific companies.

Coverage

  • Time Range: 1st January 2018 to 31st December 2019.
  • Geographic Scope: Global (includes various job locations).
  • Sector: Cryptocurrency, Blockchain, Web3, and FinTech.
  • Data Sources: Scraped from 75 unique websites, including cryptojobslist.com.

License

CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication

Who Can Use It

  • Economic Researchers: For studying labour market trends in emerging technologies.
  • Recruitment Agencies: To understand historical hiring demands and skill requirements.
  • Job Seekers: To research typical salary ranges and required skills for blockchain roles.
  • Data Analysts: For practising visualisation and text analysis on real-world employment data.

Dataset Name Suggestions

  • Web3 and Crypto Job Market Trends 2018-2019
  • Global Blockchain Employment and Salary Data
  • Cryptocurrency Industry Hiring Records
  • Historical Web3 Job Postings and Company Metrics

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

1

LISTED

07/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Loading...

Free

Download Dataset in ZIP Format