Remote Data & AI Engineer (Databricks Lakehouse)

RevStar; Idaho Falls (ID); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Remote-First Working Environment

Comprehensive Health Coverage

401(k) Retirement Plan

Learning & Development Stipend

Peer Mentorship & Coaching

Career Growth Opportunities

Company Outings & Volunteer Activities

Job summary

RevStar is seeking a Data & AI Engineer to design and deploy lakehouse solutions in a cloud-native, multi-cloud environment. You will work closely with data architects, scientists, and client leaders to deliver production-ready AI models and scalable data platforms.

The role emphasizes hands-on Databricks, Spark, Delta Lake, and MLflow work, with strong Python/SQL skills, CI/CD, and IaC practices. Remote work across multiple US states is supported.

Qualifications

• 3+ years in cloud-native data engineering.
• 2+ years with Databricks, Apache Spark, Delta Lake and MLflow.
• Strong Python and SQL proficiency; CI/CD & IaC experience.

Responsibilities

• Design, build, and optimize ETL/ELT pipelines with Spark/Delta Lake across multi-cloud environments.
• Collaborate with data scientists and client leaders to productionize AI models.
• Implement robust CI/CD pipelines and Infrastructure-as-Code for production deployments.
• Ensure data governance and security within cloud ecosystems.

Skills

Python

SQL

CI/CD

Cloud-native data engineering

Agile/DevOps

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to design and deploy lakehouse solutions in a cloud-native, multi-cloud environment. You will work closely with data architects, scientists, and client leaders to deliver production-ready AI models and scalable data platforms.

The role emphasizes hands-on Databricks, Spark, Delta Lake, and MLflow work, with strong Python/SQL skills, CI/CD, and IaC practices. Remote work across multiple US states is supported.