Databricks Engineer - Lakehouse & MLOps (Remote)

Rev Star; Colombia; Remote; COP 401,295,000 - 668,824,000; Full time

Benefits offered by this job

Remote-First

Health Coverage

401(k) Plan

Learning & Development Stipend

Mentorship & Coaching

Growth Opportunities

Job summary

RevStar is recruiting a Databricks Engineer to design, build, and deploy scalable data pipelines and MLOps frameworks across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

The role emphasizes Lakehouse architecture, CI/CD, IaC, and data governance, with a remote-first setup and collaboration across time zones.

Qualifications

• 3+ years of hands-on data engineering with cloud-native architectures.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines with Spark and Delta Lake.
• Implement Lakehouse architectures across multi-cloud environments.
• Develop CI/CD pipelines and IaC for automated Databricks deployments.
• Create monitoring, data quality validation, and reliability frameworks.
• Collaborate with data scientists to operationalize AI/ML models in production.

Skills

Python

SQL

Data Engineering

ETL/ELT Pipelines

Databricks

Apache Spark

MLflow

Lakehouse Architecture

CI/CD / IaC

Data Governance

Tools

Databricks

Apache Spark

MLflow

Terraform

Databricks CLI

Job description

RevStar is recruiting a Databricks Engineer to design, build, and deploy scalable data pipelines and MLOps frameworks across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

The role emphasizes Lakehouse architecture, CI/CD, IaC, and data governance, with a remote-first setup and collaboration across time zones.