13 days ago
Remote, AmericasMid Level
Responsibilities
- Design transactional and credit-behavior features for a credit risk model.
- Implement features with standardized metadata including descriptions, keys, lineage, ownership, tags, lifecycle, and temporality.
- Apply D1/D2 design principles to maximize feature reuse.
- Follow bundle validation, DDL, and production deployment processes.
- Monitor jobs and apply FinOps practices.
- Maintain consistency between model training and production as a single source of truth.
Requirements
- Experience in feature engineering or data engineering using Databricks and Unity Catalog.
- Advanced SQL and Python skills.
- Experience or knowledge in 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 with AI agents or agentic infrastructure such as Mosaic AI Agent Framework, agent orchestration, or MCP.
Benefits
- Remote-first culture with work-from-anywhere flexibility.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an additional vacation week.
- Referral bonuses.
- Monthly Maslow benefits-marketplace credits.
- 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.