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Data Engineer

100% remote Flexible hours Hiring now

About Mento

Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.

About The Role

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product development—understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.

Key Responsibilities:

Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards.

Build data systems that power product features. You'll create data pipelines that feed back into the product—user progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it.

Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data st

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