Data Engineer – Semi Senior, Feature Engineering, Databricks

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Create features related to transactional and credit behavior, such as frequency, recency, amount, digital engagement, and delinquency, for the risk model.

• Develop features with comprehensive standard metadata, including descriptions, primary keys/foreign keys, lineage, ownership, tags, data lifecycle, temporality, and D1/D2 design.

• Adhere to the deployment pipeline, which includes bundle validation, DDLs, and PRD.

• Oversee job monitoring and implement FinOps best practices.

• Maintain consistency between training and production environments, ensuring the model serves as the single source of truth.

• Collaborate closely with modeling and platform teams to convert transactional and credit behavior data into reliable, well-governed features.

⛳️ Requirements

• Proficiency in feature engineering and data engineering using Databricks and Unity Catalog.

• Strong skills in SQL and Python.

• Knowledge of data governance, lineage, and data quality (DQX).

• Understanding of naming conventions and metadata standards.

• Feature Store certification (Fundamentals / Expert) and experience with financial data is a plus.

• Background in developing AI agents or agentic infrastructure (e.g., Mosaic AI Agent Framework, agent orchestration, MCP) is advantageous.

🏝️ Benefits

• Embrace a remote-first culture – work from anywhere.

• Full coverage for AWS, DBT, Google Cloud, Azure, and Databricks certifications.

• Access to in-company English lessons.

• Enjoy a day off for your birthday plus an additional vacation week (Mutt Week!).

• Receive referral bonuses.

• Benefit from Maslow: Monthly credits to use in our benefits marketplace.

• Participate in the annual Mutters' Trip.

• Monthly childcare reimbursement.