Data & ML 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 & ML Engineer Semi Senior — 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

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🌍 Remote-first cultur e – work from anywhere!

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🚀 In-Company English Lessons.

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💪 Wellhub or sports club stipend to stay active

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🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

- 🍕 Food credits via Pedidos Ya – because great work deserves great food.

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🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)

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🤝 Referral bonuses – help us grow the team & get rewarded!

- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

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👶 Monthly Childcare Reimbursement – Because supporting families matters too

Originally posted on Himalayas