13 days ago
Mexico City, MexicoMid Level
Responsibilities
- Design transactional and credit-behavior features for a credit risk model.
- Implement reusable features with metadata covering descriptions, primary and foreign keys, lineage, ownership, tags, data lifecycle, temporality, and D1/D2 design.
- Follow the deployment pipeline from bundle validation through DDLs and production release.
- Monitor jobs and follow FinOps practices.
- Ensure consistency between model training and production as the single source of truth.
Requirements
- Experience with feature engineering or data engineering on Databricks and Unity Catalog.
- Advanced SQL and Python skills.
- Experience with data governance, lineage, and data quality, including DQX.
- Familiarity with naming conventions and metadata standards.
- Preferred qualifications include Feature Store certification, financial data experience, and experience developing AI agents or agentic infrastructure such as Mosaic AI Agent Framework, agent orchestration, or MCP.
Benefits
- Remote-first culture with the ability to work from anywhere.
- AWS, DBT, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an extra vacation week.
- Referral bonuses.
- Monthly Maslow credits for the benefits marketplace.
- Annual team trip.
- Monthly childcare reimbursement.
About Muttdata
Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.