Data & ML Engineer Semi Senior - Feature Engineering - Databricks

Posted Yesterday
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Hiring Remotely in ARG
Remote
Entry level
Artificial Intelligence • Information Technology • Machine Learning
The Role
Design and govern transactional and credit behavior features for a credit-risk model using Databricks and Unity Catalog. Build reusable, auditable features with comprehensive metadata, lineage, ownership, lifecycle, and quality standards. Follow deployment, monitoring, and FinOps practices while ensuring training-production consistency. Collaborate with modeling and platform teams, leveraging advanced SQL and Python. Experience with financial data, Feature Store certification, and AI agent infrastructure is beneficial.
Summary Generated by Built In

🚀 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

  • 🌍 Remote-first culture – 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 – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Skills Required

  • Experience in feature engineering or data engineering using Databricks and Unity Catalog
  • Advanced SQL skills
  • Advanced Python skills
  • Knowledge of data governance, lineage, and data quality, including DQX
  • Familiarity with naming conventions and metadata standards
  • Feature Store certification, Fundamentals or Expert
  • Experience working with financial data
  • Experience developing AI agents or agentic infrastructure, such as Mosaic AI Agent Framework, agent orchestration, or MCP
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The Company
HQ: Buenos Aires
99 Employees
Year Founded: 2017

What We Do

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices. We Are Astronomer, Amazon, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds

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