Remote Data & AI Engineer — Lakehouse & ML Ops

RevStar; Tallahassee (FL); Remote; USD 130,000 - 190,000; Full time

Benefits offered by this job

Remote-First

Comprehensive Health Coverage

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer

Job summary

RevStar is seeking a Data & AI Engineer to design and implement scalable lakehouse solutions in a remote-first environment. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models using Databricks, Spark, Delta Lake and MLflow.

Requirements include 3+ years in cloud-native data engineering, strong Python and SQL, experience with CI/CD and Terraform or Databricks CLI.

Qualifications

• 3+ years in cloud-native data engineering.
• Hands-on Databricks, Spark, Delta Lake, MLflow experience.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments.
• Operationalize AI models inside Databricks using MLflow for tracking and deployment.
• Implement CI/CD pipelines and IaC to productionize data solutions.

Skills

Python

SQL

CI/CD

Infrastructure-as-Code

Agile/DevOps

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to design and implement scalable lakehouse solutions in a remote-first environment. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models using Databricks, Spark, Delta Lake and MLflow.

Requirements include 3+ years in cloud-native data engineering, strong Python and SQL, experience with CI/CD and Terraform or Databricks CLI.