#4 Data Engineer Semi Senior - Feature Engineering - Databricks

🚀 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 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 case studies and dive into our blog post 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 culture – work from anywhere! 🌍 - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - In-Company English Lessons. - Birthday off + an extra vacation week (Mutt Week! 🏖️) - Referral bonuses – help us grow the team & get rewarded! - Maslow: Monthly credits to spend in our benefits marketplace. - ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team. - 👶 Monthly Childcare Reimbursement – Because supporting families matters too