TL;DR

Data Engineer: Harvesting data from external sources by setting up robust data pipelines, using scraping technologies, and writing APIs. Focus on technical cyber security data processing and analysis of structured data, turning data into knowledge graphs that give customers critical security insights and actionable intelligence.

Company

%hirify_global% is the world’s largest provider of intelligence for enterprise security.

What you will do

Harvest data from over a million outside external sources (dark web, open source, technical sources, etc.).
Set up robust data pipelines.
Use scraping technologies.
Write APIs.
Manage all technical cyber security data processing and analysis of structured data which represent direct output from pipelines to clients.
Turn data into knowledge graphs that give customers critical security insights and actionable intelligence.

Requirements

Passion for Python, ETL Pipelines, and Web Scraping.
Experience with Python.
Experience with ETL Pipelines.
Experience with Web Scraping.

Culture & Benefits

%hirify_global% employees represent over 40 nationalities.
Core values: high standards, practicing inclusion, and acting ethically.
Earned a 4.8-star user rating from Gartner.
More than 45 of the Fortune 100 companies as clients.