Data Scientist – Feature Engineering, Databricks

MUTT DATA

. Design transactional and credit behavior features, including frequency, recency, amount, digital engagement, and delinquency, for the risk model .

Posted 9/15/2026full-timeRemote • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in feature engineering and data governance, with a strong focus on implementing well-structured metadata and ensuring data quality. Proficient in advanced SQL and Python, with experience in financial data and familiarity with deployment pipelines.

Highest-signal resume keywords

Feature EngineeringAdvanced SQLPython ProgrammingData GovernanceDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Feature EngineeringAdvanced SQLPython ProgrammingData GovernanceData LineageData QualityMetadata StandardsFeature Store CertificationAI Agent DevelopmentFinancial Data Experience

Tools & Technologies

DatabricksUnity CatalogMosaic AI Agent FrameworkAgent OrchestrationMCP

Certifications & Qualifications

Feature Store Certification

Industry Keywords

Transactional DataCredit BehaviorData LifecycleFinOps PracticesModel TrainingProduction Consistency

Tech Stack

Tools & technologies

PythonSQLUnity

About the role

Key responsibilities & impact

Design transactional and credit behavior features, including frequency, recency, amount, digital engagement, and delinquency, for the risk model
Implement features with complete standard metadata, including description, PKs/FKs, lineage, owner, tags, data lifecycle, temporality, and D1/D2 design to maximize reuse
Follow the deployment pipeline from bundle validation through DDLs and PRD
Monitor jobs and follow FinOps practices
Ensure consistency between training and production as the model's single source of truth
Work closely with modeling and platform teams
Turn transactional and credit behavior data into trustworthy, well-governed features

Requirements

What you’ll need

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
Feature Store certification (Fundamentals / Expert) and experience with financial data (nice to have)
Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP) (nice to have)

Benefits

Comp & perks

Remote-first culture – work from anywhere
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
Birthday off + an extra vacation week (Mutt Week!)
Referral bonuses
Maslow: Monthly credits to spend in our benefits marketplace
Annual Mutters' Trip – an unforgettable getaway with the team