Remote Data & AI Engineer (Databricks Lakehouse, ML)

RevStar Consulting Inc; United States; Teletrabalho; USD 120 000 - 180 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

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

Collaborative, Innovative Culture

Resumo da oferta

RevStar Consulting Inc. is seeking a Data & AI Engineer (Databricks Specialist) for a remote contract role based in the US. You will design, build, and optimize Databricks Lakehouse pipelines and integrate MLflow for production-grade AI workloads.

The role requires strong Python/SQL, Spark, and Terraform skills, plus client-facing collaboration with data architects and engineers. You will work with data governance, CI/CD, and cloud-agnostic architectures, participating in fast-paced engagements

Qualificações

• 3+ years in cloud-native data engineering with 2+ years in Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code tooling.
• Active Databricks Certification (Associate/Professional) or Databricks ML Professional preferred.
• Experience in fast-paced Agile/DevOps consulting and cloud-agnostic architectures.

Responsabilidades

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments.
• Operationalize AI models inside Databricks with MLflow and maintain CI/CD pipelines.
• Enforce data governance and collaborate with client leaders to translate requirements into solutions.

Conhecimentos

Databricks

Python

SQL

CI/CD

Terraform

MLflow

Databricks CLI

Delta Lake

Apache Spark

Ferramentas

Databricks CLI

Delta Lake

Apache Spark

Terraform

Descrição da oferta de emprego

RevStar Consulting Inc. is seeking a Data & AI Engineer (Databricks Specialist) for a remote contract role based in the US. You will design, build, and optimize Databricks Lakehouse pipelines and integrate MLflow for production-grade AI workloads.

The role requires strong Python/SQL, Spark, and Terraform skills, plus client-facing collaboration with data architects and engineers. You will work with data governance, CI/CD, and cloud-agnostic architectures, participating in fast-paced engagements