Data Engineer

Mento is a career technology company focused on providing exceptional support and mentorship through human, AI, and software-based coaching. They are seeking a Data Engineer to build the data infrastructure that powers insights and features across their coaching platform, involving the creation of data pipelines and systems that support product features and business analytics.

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 stack—choosing and implementing tools for orchestration, transformation, warehousing, and analytics. You'll build foundations that can scale with the company
• Process and analyze AI/LLM outputs. You'll work with data from our AI coaching systems, building pipelines to analyze LLM responses, track coaching quality, and generate insights about how users interact with AI coaches
• Support business operations and analytics. You'll build data systems that track customer success metrics, billing data, user engagement, and operational KPIs. Your work will directly inform business decisions and product strategy
• Create accessible analytics infrastructure. You'll build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools. You'll think about data quality, documentation, and usability
• Work closely with product on instrumentation and data collection. You'll collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data. You'll be involved in product discussions and understand feature requirements from a data perspective

Requirements:

• Mid to senior-level experience in data engineering
• Strong data engineering fundamentals
• Experience with SQL and Python
• Experience in building data pipelines
• Understanding of data modeling, ETL/ELT patterns, and scalable data architectures
• Experience with databases like PostgreSQL
• Ability to drive technical decisions about data infrastructure
• Experience evaluating and implementing data tools
• Comfortable working with diverse data sources
• Experience working closely with product teams
• Ability to build both analytical and operational data pipelines
• Experience with AI/ML data
• Ability to work independently in an early-stage environment
• Comfortable with Go
• Experience with orchestration frameworks, warehouses, transformation tools, or BI platforms
• Experience with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs
• Experience building systems that feed data back into products in real-time or near-real-time
• Experience with LLM outputs, unstructured data, or analytics for AI-powered products