Remote Data & AI Engineer - Lakehouse & MLOps

RevStar; South Carolina; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First Working Environment

Comprehensive Health Coverage (Medical

Dental

Vision

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Activities

Collaborative, Innovative Culture

Job summary

RevStar is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production-ready AI models. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable AI products, emphasizing ownership, self-mastery, and shared success.

The role focuses on designing scalable ETL/ELT pipelines, optimizing Spark workloads, and deploying with CI/CD and IaC, while enforcing enterprise data security and governance across multi-cloud environments.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake, MLflow experience
• Proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI)
• Active Databricks Certification (Associate or Professional) or Databricks ML Professional certification strongly preferred
• Proven track record in fast-paced Agile/DevOps consulting environments with cloud-agnostic architectures

Skills

Python

SQL

Spark

CI/CD

Terraform / Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production-ready AI models. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable AI products, emphasizing ownership, self-mastery, and shared success.

The role focuses on designing scalable ETL/ELT pipelines, optimizing Spark workloads, and deploying with CI/CD and IaC, while enforcing enterprise data security and governance across multi-cloud environments.