Databricks Data & AI Engineer — Remote Lakehouse

RevStar Consulting Inc; Argentina; Presencial; MXN 2.037.000 - 2.716.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid Time Off

Remote-First Working Environment

Comprehensive Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Activities

Descripción de la vacante

RevStar Consulting Inc. is seeking a Data & AI Engineer (Databricks Specialist) to design, build, and operate scalable Lakehouse pipelines across multi-cloud environments. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

The role emphasizes robust MLflow workflows, CI/CD deployments, and Terraform-based infrastructure with strong client communication in a fast-paced consulting setting.

Formación

• 3+ years in cloud-native data engineering with 2+ years in Databricks, Spark, Delta Lake, MLflow.
• Proficient in Python and SQL, Spark, CI/CD, and IaC (Terraform or Databricks CLI).
• Databricks Certified Data Engineer or ML Professional certification strongly preferred.
• Experience in Agile/DevOps consulting and cloud-agnostic architectures.

Responsabilidades

• Design, build, and optimize scalable Lakehouse pipelines using Spark/Delta Lake across multi-cloud environments.
• Operationalize AI models in Databricks with MLflow and implement CI/CD deployments.
• Enforce data security and collaborate with client leaders; document solutions and enable handoffs.

Conocimientos

Databricks

Apache Spark

Delta Lake

MLflow

Python

SQL

CI/CD

Terraform

Databricks CLI

Herramientas

Databricks Certified Data Engineer

Descripción del empleo

RevStar Consulting Inc. is seeking a Data & AI Engineer (Databricks Specialist) to design, build, and operate scalable Lakehouse pipelines across multi-cloud environments. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

The role emphasizes robust MLflow workflows, CI/CD deployments, and Terraform-based infrastructure with strong client communication in a fast-paced consulting setting.