Name: HackerNews Who Is Hiring Listings 2018-2023
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

HackerNews Who Is Hiring Listings 2018-2023

The dataset being utilized encompasses a comprehensive range of job postings from the HackerNews community, a dynamic platform renowned for its focus on technology, computer science, and entrepreneurship. This dataset spans from 2018 to June 2023, providing a five-year window into the evolving trends and preferences within this vibrant community.

The job description have the following columns:

companyName: Name of the company (Text)
location: Location of the position (Text)
location_city: City of the position based on the location, can be null (Array of Text)
location_country: Country of the position based on the location, can be null ( Array of Text)
is_remote: Indicates whether the position is remote or not (Boolean)
is_remote_country_specific: Indicates if remote work is constrained by a specific country (Boolean)
legalAuthorizationRequirements: Legal requirements for the position (Text)
time_zone_requirements: Indicates if there are any overlapping time zone requirements for the position (Boolean)
is_full_time: Indicates if the position requires full-time employment (Boolean)
is_part_time: Indicates if the position requires part-time employment (Boolean)
is_contractor: Indicates if the position requires contractor employment (Boolean)
subindustry: Company subindustry within the technology sector, identified from the position description (Text). Please note the field can't be null.
companyDescription: One or two-sentence description of the company (Text)
position: Position title (Text)
languageStack: Array of programming languages required for the position (Array of Text)
companyWebsite: Company's website (URL)
emailToContact: Email of point of contact (Text)

Tables

Jobs 2018–2023

@kaggle.kidrulit_hackernews_who_is_hiring_listings_from_2018.jobs_2018_2023

30.66 MB
47,206 rows
6 columns

CREATE TABLE jobs_2018_2023 (
  "id" BIGINT,
  "date" TIMESTAMP,
  "hn_hiring_month" VARCHAR,
  "hn_hiring_year" BIGINT,
  "hn_user_link" VARCHAR,
  "job_description" VARCHAR
);

Parsed Jobs 2018–2023

@kaggle.kidrulit_hackernews_who_is_hiring_listings_from_2018.parsed_jobs_2018_2023

18.96 MB
47,189 rows
18 columns

CREATE TABLE parsed_jobs_2018_2023 (
  "id" BIGINT,
  "job_id" BIGINT,
  "data" VARCHAR,
  "company_name" VARCHAR,
  "location" VARCHAR,
  "location_city" VARCHAR,
  "location_country" VARCHAR,
  "is_remote" VARCHAR,
  "is_remote_country_specific" VARCHAR,
  "compensation" VARCHAR,
  "time_zone_requirements" VARCHAR,
  "is_full_time" VARCHAR,
  "is_part_time" VARCHAR,
  "is_contractor" VARCHAR,
  "subindustry" VARCHAR,
  "company_description" VARCHAR,
  "position" VARCHAR,
  "language_stack" VARCHAR
);