Data Engineer
✨ AI Summary
Mento is a pioneering career technology firm that empowers individuals to excel in their professional lives via human, AI, and software-driven coaching. Our mission is to provide unparalleled access to support, mentorship, and actionable advice, fostering transformational growth in a rapidly evolving job landscape. As a remote-first US-based company backed by prominent investors, we prioritize a collaborative and enjoyable work environment.
Role Overview
We are seeking a Data Engineer to establish and enhance the data infrastructure that drives insights across our coaching platform. This pivotal role involves managing data pipelines related to coaching sessions, user analytics, and business operations, while collaborating closely with various teams, including product and engineering.
Main Responsibilities
- Develop data pipelines for coaching metrics and user analytics to support product enhancements and business intelligence.
- Build data systems that enable features such as user progress tracking and coaching insights, ensuring seamless integration with product requirements.
- Establish and make critical decisions on our data architecture, selecting suitable tools for orchestration and analytics.
- Process AI-generated data to analyze coaching quality and user engagement.
- Support business operations by creating systems that monitor key performance indicators and customer metrics.
- Implement accessible analytics infrastructure for non-technical users through dashboards and self-service tools.
Requirements
The ideal candidate should possess mid to senior-level data engineering experience, proficiency in SQL and Python, and a solid understanding of data architecture. Familiarity with databases like PostgreSQL and a background in AI/ML data are advantageous. You should be comfortable working in a dynamic, early-stage environment and have a collaborative approach to product development.
