Remote Data & AI Engineer: Lakehouse & MLOps Specialist

RevStar; Clifton (TX); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health Coverage (Medical, Dental, Vis

401(k) Retirement Plan

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Projects

Job summary

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable lakehouse pipelines and production-grade AI workflows. You will work with data architects, scientists, and client leaders to translate complex data into scalable AI models.

Ideal candidates have 3+ years in cloud-native data engineering, strong Python/SQL skills, and hands-on Databricks, Spark, Delta Lake, and MLflow experience, in a remote, fast-paced environment.

Qualifications

• 3+ years in cloud-native data engineering
• 2+ years with Databricks, Apache Spark, Delta Lake, MLflow
• Strong Python, SQL, Spark frameworks, CI/CD and IaC (Terraform or Databricks CLI)

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments (AWS, Azure, GCP).
• Operationalize AI models inside Databricks using MLflow; implement CI/CD pipelines and IaC.
• 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

Databricks CLI

Tools

Cloud platforms

Job description

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable lakehouse pipelines and production-grade AI workflows. You will work with data architects, scientists, and client leaders to translate complex data into scalable AI models.

Ideal candidates have 3+ years in cloud-native data engineering, strong Python/SQL skills, and hands-on Databricks, Spark, Delta Lake, and MLflow experience, in a remote, fast-paced environment.