Dataset

tech-job-postings-salaries-sample

Jobs & Workforce Download 1 source

The tech-job-postings-salaries-sample dataset is a 500-row public sample of a larger scraping-based feed of technology job postings drawn from public applicant tracking system endpoints such as Greenhouse, Lever, Ashby, Workable and SmartRecruiter. It is published by DataForge (Zalize) for evaluation and preview use.

Data preview

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Dataset card

What this dataset contains

Each row represents a single active technology job posting collected from a public ATS board, with free-text salary content parsed into structured fields and skills normalized against a taxonomy. The sample reflects a 2026-08 collection run whose full underlying feed covers roughly 394,300 active postings drawn from more than 6,500 company boards and refreshed monthly. Coverage is described as US-focused, with a stated size band of fewer than one thousand rows in the published sample.

Structure and fields

The accompanying data dictionary lists 23 columns covering posting identifiers, employer, location, role metadata, raw and normalized salary fields, parsed skills, and provenance attributes tied to the source ATS endpoint. License and dataset-size metadata in the public card are marked as unstated, and the masked preview rows provided to this directory are empty, so individual column names cannot be confirmed from the available facts.

How analysts use it

A labor-market analyst could benchmark compensation ranges, skill demand, or hiring intensity across technology employers using the parsed salary and skill fields, subject to the sample's small size. The free sample is positioned for text-classification and tabular-regression exercises, while the full feed is offered commercially for internal analytics and AI training under a tiered license.

Documentation & references 1
  1. zalizedata/tech-job-postings-salaries-sample: 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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