Databricks Lakehouse Data & AI Engineer (Remote)

RevStar; Athens (GA); Remote; USD 120,000 - 160,000; 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 & VolunteerOpportunit

Job summary

RevStar is hiring a Data & AI Engineer for a remote-first role in the US. You will design and deploy scalable lakehouse pipelines, work with Databricks, Delta Lake, and MLflow, and collaborate with data scientists and leaders to deliver production AI solutions.

You’ll engage in multi-cloud architectures, automate ingestion and feature engineering, and implement governance and reliability practices to meet enterprise needs.

Qualifications

• 3+ years of cloud-native data engineering experience with 2+ years using Databricks, Spark, Delta Lake and MLflow.
• High proficiency in Python, SQL, Spark, CI/CD and Terraform/Databricks CLI.
• Active Databricks certification (Associate/Professional) is strongly preferred.
• Experience in fast-paced Agile/DevOps consulting with cloud-agnostic architectures.

Responsibilities

• Design, build, and optimize Lakehouse pipelines on multi-cloud platforms (AWS/Azure/GCP).
• Operationalize AI models with MLflow and manage CI/CD pipelines and IaC for production deployments.
• Collaborate with data scientists and client stakeholders to translate data needs into scalable solutions.

Skills

Python

SQL

Apache Spark

MLflow

Terraform

Databricks

Tools

Databricks

Delta Lake

MLflow

Databricks CLI

CI/CD

Job description

RevStar is hiring a Data & AI Engineer for a remote-first role in the US. You will design and deploy scalable lakehouse pipelines, work with Databricks, Delta Lake, and MLflow, and collaborate with data scientists and leaders to deliver production AI solutions.

You’ll engage in multi-cloud architectures, automate ingestion and feature engineering, and implement governance and reliability practices to meet enterprise needs.