Data & AI Engineer — Lakehouse & ML Ops (Remote)

RevStar Consulting Inc; Georgia; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First

Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings

Job summary

RevStar Consulting Inc. is seeking 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 deliver production-ready AI models and analytics at scale.

The role emphasizes production-grade deployments, MLflow integration, and strong Python/SQL expertise in a remote-first consulting setting.

Qualifications

• 3+ years of cloud-native data engineering experience, with 2+ years using Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python and SQL, Spark ecosystems, CI/CD, and infrastructure as code.

Responsibilities

• Design, build, and optimize scalable data pipelines across multi-cloud environments.
• Operationalize AI models inside Databricks with MLflow and CI/CD pipelines.
• Collaborate with data architects, scientists, and client leaders to deliver production-ready solutions.

Skills

Python

SQL

Spark

CI/CD

Terraform/Databricks CLI

Tools

Databricks

Delta Lake

MLflow

Job description

RevStar Consulting Inc. is seeking 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 deliver production-ready AI models and analytics at scale.

The role emphasizes production-grade deployments, MLflow integration, and strong Python/SQL expertise in a remote-first consulting setting.