Data Analytics Engineer - Feature Engineering - Databricks - #3

Job description

**🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀** At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. **This opportunity is with a leading multinational beverage company based in Mexico City.** We are looking for a **Data Analytics Engineer — Feature Engineering** to join our team 🐶🚀. You'll build and govern the features that power our Credit Score financial model, ensuring reliable, reusable, and auditable signals as the raw material for credit risk — under the AI Factory Feature Store standard. This role works closely with modeling and platform teams, turning transactional and credit behavior data into trustworthy, well-governed features. Attention to detail, strong data governance instincts, and a reuse-first mindset are essential to succeed in this fast-paced, collaborative environment. ### 🚀 What We Do - Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. - Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. - Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. - Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. - Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. - Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. ### 🌟 Our Partnerships - Amazon Web Services - Astronomer - Databricks ### 🌟 Our Values - 📊 We are Data Nerds - 🤗 We are Open Team Players - 🚀 We Take Ownership - 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out [our](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀 ### Responsibilities 🤓 - Design transactional and credit behavior features (frequency, recency, amount, digital engagement, delinquency) for the risk model. - Implement features with complete standard metadata (description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality) and D1/D2 design to maximize reuse. - Follow the deployment pipeline (bundle validation → DDLs → PRD), job monitoring, and FinOps practices. - Ensure consistency between training and production as the model's single source of truth. ### Required Skills - Experience in feature engineering / data engineering on Databricks + Unity Catalog. - Advanced SQL and Python; data governance, lineage, and quality (DQX). - Familiarity with naming conventions and metadata standards. ### Nice to Have Skills 😉 - Feature Store certification (Fundamentals / Expert) and experience with financial data. - Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP). ### 🎁 Perks - **🌍 Remote-first cultur**e – work from anywhere! - **🚀** In-Company **English Lessons.** - **💪 Wellhub or sports club** stipend to stay active - **🚀 AWS, DBT, Google Cloud, Azure & Databricks** certifications fully covered - 🍕 **Food credits via Pedidos Ya** – because great work deserves great food. - **🎂 Birthday off** + an extra vacation week (Mutt Week! 🏖️) - **🤝 Referral bonuses** – help us grow the team & get rewarded! - ✈️**🏝️ [Annual Mutters' Trip](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too