Dataset

tech-job-postings-salary-dataset

Jobs & Workforce Download 1 source

The Tech Job Postings & Salary Dataset from Zalize Data contains over 449,000 monthly job postings scraped from public applicant tracking systems at US and EU technology companies. It is distributed as parquet files under a CC BY-NC 4.0 license and is part of the DataForge Open Data program.

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What this dataset contains

Each record represents a single job posting harvested from public ATS endpoints such as Greenhouse, Lever, Ashby, Workable and SmartRecruiters. The data captures structured compensation ranges, seniority cues and technology-stack signals derived from the original posting text. Coverage spans US and EU tech employers and is refreshed on a monthly snapshot cadence.

Structure and fields

The single training split holds 449,028 rows delivered as parquet and accessible through the `S`, `M` and `L` configurations. Core columns include company_name, company_domain, company_industry, ats, job_id, title, department, location_raw, country, city, is_remote, employment_type, salary_min, salary_max, salary_currency, salary_period, salary_from_text, skills, posted_at, scraped_at and url. Numeric salary fields are stored as float64, while the skills column appears as a nested large_string feature.

How analysts use it

Hiring and compensation analysts can track trends in tech labor demand and pay by aggregating salary_min and salary_max across title, country and skills. Investors monitoring software, cloud or AI vendors may use posting volumes by company_name or company_domain as a proxy for organic growth, headcount expansion or product investment cycles. The is_remote and employment_type fields further support studies on flexible-work penetration and contractor usage across the sector.

Documentation & references 1
  1. zalizedata/tech-job-postings-salary-dataset: listing on Hugging Face

Further reading

All guides
  • What is alternative data?Alternative data in investment research: what the term covers, how it differs from data format, and why provenance, timing, access and validation matter.
  • Job postings as an investment signalWhy hiring data predicts fundamentals: growth intent, expansion geography, technology adoption and cost control, how postings are collected, structured and turned into tradeable indicators.
  • Web scraping and compliance in alternative dataHow scraped datasets are actually collected, where terms of service and computer-muse laws draw lines, what hiQ v. LinkedIn settled and did not, and the diligence checklist for legally fragile data.
  • Free alternative data sourcesThe practical list of free alternative-data sources for investors: public filings, official statistics, satellite and earth observation, on-chain data, web archives and open registries, what each covers, what it costs in engineering effort, and where free data falls short.
  • Alternative data for investingHow funds turn alternative data into an investment edge: signal families, evaluation, backtesting, compliance and the build-vs-buy decision, mapped to the datasets and providers indexed on this encyclopedia.
  • Job market data: datasets and providersThe datasets and providers behind labor-market signals: job postings, payroll, employee profiles and job-change data, what each source measures, its caveats and how to choose one.

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