Data Engineer – Semi Senior, Feature Engineering, Databricks

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

📋 Description

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

• Develop features that include comprehensive standard metadata, such as descriptions, primary and foreign keys, lineage, ownership, tags, data lifecycle, temporality, and D1/D2 design to enhance reusability.

• Adhere to the deployment pipeline process, from bundle validation through DDLs and production.

• Oversee job monitoring and comply with FinOps practices.

• Maintain consistency between training and production as the authoritative source for the model.

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

⛳️ Requirements

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

• Strong skills in SQL and Python.

• Experience in data governance, lineage, and data quality (DQX).

• Understanding of naming conventions and metadata standards.

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

• Background in developing AI agents or agentic infrastructure, such as the Mosaic AI Agent Framework, agent orchestration, or MCP is advantageous.

🏝️ Benefits

• Embrace a remote-first culture – work from any location!

• 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!).

• Referral bonuses available.

• Monthly credits through Maslow to use in our benefits marketplace.

• Participate in the annual Mutters' Trip.

• Monthly childcare reimbursement provided.