Data Analytics Engineer - Feature Engineering - Databricks - #3

Team: Operations

Location: Remote

Commitment: Remote - Latam

Workplace Type: remote

🚀 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 models 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