Remote Databricks Lakehouse Engineer — AI & Data

RevStar Consulting Inc; Maine; On-site; 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 Activities

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc is hiring a Data & AI Engineer (Databricks Specialist) for a remote, US-based role. You will design scalable Lakehouse pipelines, optimize Spark workloads, and operationalize AI models with MLflow across multi-cloud environments.

We value 3+ years in cloud-native data engineering, strong Python/SQL skills, and a consulting mindset. A Databricks certification is highly preferred and will distinguish your application in a fast-paced, collaborative setting.

Qualifications

• 3+ years in cloud-native data engineering with Databricks/Spark/Delta Lake/MLflow experience
• High proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI)
• Active Databricks Certification (Associate/Professional) or Databricks ML Professional certification preferred
• Consulting mindset with experience delivering cloud-agnostic architectures in fast-paced Agile/DevOps environments

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines using Spark across multi-cloud environments.
• Operationalize AI models in Databricks with MLflow; implement CI/CD pipelines and IaC for production deployments.
• Collaborate with data architects, scientists, and client leaders to translate requirements into scalable, compliant data solutions.

Skills

Python

SQL

Spark framework

CI/CD

IaC

Tools

Terraform

Databricks CLI

MLflow

Job description

RevStar Consulting Inc is hiring a Data & AI Engineer (Databricks Specialist) for a remote, US-based role. You will design scalable Lakehouse pipelines, optimize Spark workloads, and operationalize AI models with MLflow across multi-cloud environments.

We value 3+ years in cloud-native data engineering, strong Python/SQL skills, and a consulting mindset. A Databricks certification is highly preferred and will distinguish your application in a fast-paced, collaborative setting.