Remote Data & AI Engineer: Lakehouse & Production ML

RevStar; Columbia (SC); À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Paid Time Off

Remote-First

Health Coverage

Learning Stipend

Mentorship

Growth Opportunities

Team Outings

Collaborative Culture

Résumé du poste

RevStar is hiring a Data & AI Engineer to design, build, and optimize scalable Lakehouse pipelines across multi-cloud environments. You will work with data architects, scientists, and client leaders to turn complex data into production-grade AI models.

Expect a role focused on modern data engineering, MLflow integration, and robust CI/CD with Terraform, enabling fast, production-ready deployments for enterprise clients.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years using Databricks, Spark, Delta Lake, MLflow
• Proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI)
• Databricks Certification (Associate or Professional) or Databricks ML Professional certification preferred
• Experience delivering cloud-agnostic architectures in Agile/DevOps environments

Responsabilités

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments (AWS/Azure/GCP)
• Operationalize AI models with MLflow and Databricks in production
• Implement CI/CD pipelines and IaC for automated deployments
• Collaborate with clients and engineers to translate data needs into production solutions

Connaissances

Python

SQL

Spark

MLflow

Databricks

Data Engineering

CI/CD

Terraform

Outils

Databricks CLI

Terraform

Apache Spark

Delta Lake

Description du poste

RevStar is hiring a Data & AI Engineer to design, build, and optimize scalable Lakehouse pipelines across multi-cloud environments. You will work with data architects, scientists, and client leaders to turn complex data into production-grade AI models.

Expect a role focused on modern data engineering, MLflow integration, and robust CI/CD with Terraform, enabling fast, production-ready deployments for enterprise clients.