Qualifinds
11 - 50 employees
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Qualifinds is a specialized recruitment company that focuses on optimizing the hiring process by integrating subject matter experts (SMEs) into the evaluation of candidates. The company aims to connect businesses with top talent efficiently, ensuring candidates are not only a great fit for the company culture but also possess the necessary technical knowledge for their roles. By providing comprehensive visibility into the hiring process, Qualifinds helps businesses organize and synchronize their recruitment efforts, allowing for intelligent decision-making and rapid growth.
Data Engineer
Job not on LinkedIn
🕒 March 3
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Qualifinds
11 - 50 employees
🎯 Recruiter
👥 HR Tech
Recruitment • HR Tech
Qualifinds is a specialized recruitment company that focuses on optimizing the hiring process by integrating subject matter experts (SMEs) into the evaluation of candidates. The company aims to connect businesses with top talent efficiently, ensuring candidates are not only a great fit for the company culture but also possess the necessary technical knowledge for their roles. By providing comprehensive visibility into the hiring process, Qualifinds helps businesses organize and synchronize their recruitment efforts, allowing for intelligent decision-making and rapid growth.
📋 Description
• Architect and scale the systems that power AI-driven valuation tools • Lead development of data ingestion pipelines and enrichment workflows • Develop systems to support LLM- and ML-based document parsing • Own architecture of data storage and processing stack • Operationalize AI/ML workflows by preparing clean training and inference datasets • Collaborate with backend engineers, domain experts, and product leadership
🎯 Requirements
• B.S in Computer Science or equivalent • 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role • Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal • Have designed or maintained web scraping pipelines at scale • Understand tradeoffs between ETL and ELT • Have worked with LLM APIs or ML models in production
🏖️ Benefits
• Meaningful equity • Competitive compensation • High-impact role • Remote-flexible culture
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