Remote Data Platform & AI Engineer — Build AI-Driven Pipelines

Muttdata; Argentina; Presencial; ARS 136.046.000 - 196.511.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

English Lessons

Wellhub or sports club stipend

AWS, DBT, Google Cloud, Azure & Databr

Food credits via Pedidos Ya

Birthday off

Referral bonuses

Annual Mutters' Trip

Monthly Childcare Reimbursement

Descripción de la vacante

Muttdata is hiring a Data Platform & AI Engineer to join a remote-friendly team building data products and ML solutions. You will automate Data Engineering tasks using LLMs, RAG, and AI Agents within Data+, our internal platform, and work across data pipelines, backends, and frontends.

We value hands-on experience with AWS, Redshift, dbt, Terraform, and vector databases, and welcome engineers who thrive across cloud data engineering, CI/CD, and IaC.

Formación

• Experience in Data Engineering, Data Platform, or Cloud Data Engineering.
• Strong Python and SQL.
• Experience with AWS and data pipelines.
• Knowledge of Redshift, Glue, Lake Formation, dbt, Terraform, Data Mesh/Lakehouse, Vector Databases, agent frameworks.

Responsabilidades

• Build pipelines, backends, frontends, and PoCs using GitHub Copilot and agents as your main tools.
• Bring LLMs, RAG, and AI Agents into the platform to automate Data Engineering and operational tasks.
• Design reusable capabilities and data pipelines for Data+. Implement automation, CI/CD, and Infrastructure as Code on AWS.
• Integrate APIs and tools to make the platform increasingly self-service.

Conocimientos

Python

SQL

Data engineering

Cloud data engineering

Herramientas

AWS

Redshift

Glue

Lake Formation

dbt

Terraform

Data Mesh/Lakehouse

Vector databases

Git

CI/CD

Infrastructure as Code

Databricks

Descripción del empleo

Muttdata is hiring a Data Platform & AI Engineer to join a remote-friendly team building data products and ML solutions. You will automate Data Engineering tasks using LLMs, RAG, and AI Agents within Data+, our internal platform, and work across data pipelines, backends, and frontends.

We value hands-on experience with AWS, Redshift, dbt, Terraform, and vector databases, and welcome engineers who thrive across cloud data engineering, CI/CD, and IaC.