Remote Data & AI Engineer - Lakehouse & ML Ops

RevStar Consulting Inc; United States; Remote; USD 90,000 - 152,000; Part time

Job summary

RevStar Consulting Inc. is seeking a Data & AI Engineer for a remote contract role to design and implement cloud-native Lakehouse architectures. You will collaborate with data architects, scientists, and client leaders to deliver production-ready AI and analytics solutions.

The role emphasizes building scalable pipelines, tuning Spark workloads, and integrating ML models with Databricks using MLflow while maintaining data security and governance standards across multi-cloud environments.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years in Databricks/Spark/Delta Lake/MLflow
• Proficiency in Python, SQL, Spark, CI/CD and Infrastructure-as-Code
• Databricks Certification or ML Professional cert strongly preferred and differentiating

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-clouds using Spark and Delta Lake
• Operationalize AI models inside Databricks with MLflow, and implement CI/CD pipelines and IaC
• Enforce data security/compliance and collaborate with client leaders to translate AI data needs into outcomes

Skills

Python

SQL

Spark

CI/CD

Terraform

Databricks CLI

MLflow

Tools

MLflow

Databricks CLI

Terraform

Job description

RevStar Consulting Inc. is seeking a Data & AI Engineer for a remote contract role to design and implement cloud-native Lakehouse architectures. You will collaborate with data architects, scientists, and client leaders to deliver production-ready AI and analytics solutions.

The role emphasizes building scalable pipelines, tuning Spark workloads, and integrating ML models with Databricks using MLflow while maintaining data security and governance standards across multi-cloud environments.