Cohort AI
1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🎯 Recruiter
Artificial Intelligence • SaaS • Recruitment
Cohort AI is an AI-powered recruiting platform that delivers top technical talent rapidly. The SaaS product uses machine learning and a suite of AI agents to source (scan millions of profiles), conduct personalized outreach, run technical evaluations, and coordinate interviews and offers—integrating with ATS tools like Greenhouse and Lever to streamline hiring workflows and cut time-to-hire. Founded by engineers experienced in scaling high-performance teams, Cohort targets fast, precise hiring of senior/”unicorn” technical candidates.
Data Engineer
Job not on LinkedIn
🕒 April 1
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Cohort AI
1 - 10 employees
🤖 Artificial Intelligence
☁️ SaaS
🎯 Recruiter
Artificial Intelligence • SaaS • Recruitment
Cohort AI is an AI-powered recruiting platform that delivers top technical talent rapidly. The SaaS product uses machine learning and a suite of AI agents to source (scan millions of profiles), conduct personalized outreach, run technical evaluations, and coordinate interviews and offers—integrating with ATS tools like Greenhouse and Lever to streamline hiring workflows and cut time-to-hire. Founded by engineers experienced in scaling high-performance teams, Cohort targets fast, precise hiring of senior/”unicorn” technical candidates.
📋 Description
• Build and maintain data pipelines to ingest, transform, and organize data from multiple sources • Work with clinical, claims, or similar structured datasets and map them into standardized data models • Run data quality checks to ensure accuracy and consistency • Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities • Collaborate with cross-functional teams including data, product, and business stakeholders • Help maintain ongoing data refresh processes and troubleshoot pipeline issues when needed
🎯 Requirements
• Bachelor’s degree in Computer Science or a related field (or equivalent hands-on experience) • Strong working knowledge of SQL • Familiarity with Python, PySpark, or SparkSQL • Experience with modern data platforms like Databricks, Snowflake, or BigQuery • Comfort working in a remote, collaborative environment • Based in the United States (preferred time zones: Central, Mountain, or Pacific)
🏖️ Benefits
• Flexible working environment • Professional development opportunities • Health Insurance
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