Remote Data & AI Engineer — Lakehouse & ML Ops

RevStar; Orangeburg (SC); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First

Health Coverage

401(k) Plan

Learning stipend

Mentorship & Coaching

Growth opportunities

Outings & volunteering

Collaborative culture

Job summary

RevStar is hiring a Data & AI Engineer to design, build, and optimize Lakehouse pipelines across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to deliver production-ready AI models and scalable data solutions.

The role emphasizes ownership, self-mastery, and shared success in a remote-friendly, fast-paced consulting environment. Experience with Databricks, MLflow, and Terraform is highly valued.

Qualifications

• 3+ years cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake and MLflow experience.
• Proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Certification (Associate or Professional) or Databricks ML Professional is a strong plus.
• Consulting mindset with experience in Agile/DevOps environments delivering cloud-agnostic architectures.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on multi-cloud environments (AWS, Azure, GCP).
• Operationalize AI models inside Databricks using MLflow with tracking and deployment.
• Establish robust CI/CD pipelines and IaC to productionize data solutions.
• Collaborate with client tech leaders and teams to translate data requirements into business outcomes.

Skills

Databricks

Apache Spark

Delta Lake

MLflow

Python

SQL

CI/CD

Infrastructure-as-Code

Terraform

Databricks CLI

Databricks Certified Data Engineer

Agile/DevOps

Tools

Databricks CLI

Terraform

CI/CD tooling

Job description

RevStar is hiring a Data & AI Engineer to design, build, and optimize Lakehouse pipelines across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to deliver production-ready AI models and scalable data solutions.

The role emphasizes ownership, self-mastery, and shared success in a remote-friendly, fast-paced consulting environment. Experience with Databricks, MLflow, and Terraform is highly valued.