Data & AI Engineer – Lakehouse & ML Ops (Remote)

RevStar; Florida; Remote; USD 120,000 - 190,000; 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 is seeking a Data & AI Engineer to design, build, and operate greenfield Lakehouse solutions. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI systems.

In this role you will own end-to-end data engineering, from ingestion through model deployment, leveraging Spark, Delta Lake, MLflow, and Databricks across AWS, Azure, and GCP. We value ownership, fast execution, and clear communication.

Qualifications

• 3+ years in cloud-native data engineering with Databricks, Spark, Delta Lake.
• Strong Python and SQL proficiency for data pipelines and ML workloads.
• Active Databricks certification preferred.

Responsibilities

• Design, build, and optimize Lakehouse data pipelines across multi-clouds.
• Collaborate with data scientists and client teams to productionize AI models.
• Implement CI/CD, IaC, and governance practices with Databricks Unity Catalog.

Skills

Python

SQL

Spark

CI/CD

Terraform

Education

Databricks Certification (Data Engineer)

Tools

Databricks CLI

Terraform

Job description

RevStar is seeking a Data & AI Engineer to design, build, and operate greenfield Lakehouse solutions. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI systems.

In this role you will own end-to-end data engineering, from ingestion through model deployment, leveraging Spark, Delta Lake, MLflow, and Databricks across AWS, Azure, and GCP. We value ownership, fast execution, and clear communication.