Data & AI Engineer: Lakehouse & MLOps (Remote)

RevStar Consulting Inc; Virginia; Remote; USD 120,000 - 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 Opportunit

Job summary

RevStar Consulting Inc. is seeking a Data & AI Engineer to design and deploy cloud-native data pipelines and productionize AI models. You will partner with data architects and client leaders to deliver scalable solutions across AWS, Azure, and GCP, with a focus on fast, production-ready results.

The role emphasizes Databricks Lakehouse, MLflow, and robust CI/CD, with a remote-first, fully remote work model and enterprise-scale impact.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years in Databricks/Spark/Delta Lake/MLflow.
• Strong Python and SQL skills; proficient with Spark frameworks.
• Experience implementing CI/CD and IaC (Terraform or Databricks CLI).
• Databricks Certification (Associate/Professional) or Databricks ML Professional is a plus.

Responsibilities

• Architect and operate Databricks Lakehouse pipelines across multi-clouds.
• Collaborate with data scientists to productionize AI models in Databricks.
• Enforce data governance, security, and scalable CI/CD deployments.

Skills

Cloud-native data engineering

Databricks / Spark / Delta Lake / MLflo

Python / SQL / Spark

CI/CD / IaC (Terraform or Databricks)

Databricks Certification preferred

Tools

Databricks CLI

Terraform

MLflow

Delta Lake

Job description

RevStar Consulting Inc. is seeking a Data & AI Engineer to design and deploy cloud-native data pipelines and productionize AI models. You will partner with data architects and client leaders to deliver scalable solutions across AWS, Azure, and GCP, with a focus on fast, production-ready results.

The role emphasizes Databricks Lakehouse, MLflow, and robust CI/CD, with a remote-first, fully remote work model and enterprise-scale impact.