Remote Data & AI Engineer — Lakehouse & ML Ops

RevStar Consulting Inc; South Carolina; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

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 Oppor tun.

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc. is seeking a Data & AI Engineer to design, build, and optimize data pipelines and AI models in a cloud-native Databricks environment. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI solutions.

The role emphasizes ownership, high performance, and rapid delivery in a remote, client-focused setting, with strong opportunities for growth and professional development.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years of Databricks, Spark, Delta Lake, and MLflow experience.
• Proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Data Engineer certification (Associate or Professional) or Databricks ML Professional preferred.

Responsibilities

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

Skills

Databricks

Apache Spark

Delta Lake

MLflow

Python

SQL

CI/CD

Terraform

Tools

Databricks CLI

Terraform

Job description

RevStar Consulting Inc. is seeking a Data & AI Engineer to design, build, and optimize data pipelines and AI models in a cloud-native Databricks environment. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI solutions.

The role emphasizes ownership, high performance, and rapid delivery in a remote, client-focused setting, with strong opportunities for growth and professional development.