Data & AI Engineer: Lakehouse, MLOps & AI (Remote)

RevStar; Alton (IL); Remote; 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 Opportuni-

Collaborative, Innovative Culture

Job summary

RevStar, a cloud-native innovation partner, seeks a Data & AI Engineer to design Databricks Lakehouse solutions and production AI workloads. You’ll collaborate with data architects, scientists, and client leaders to turn complex data into scalable models, with ownership and high performance at the core.

We value self-mastery, ownership, and shared destiny, and offer remote-first work across the US, strong client exposure, and opportunities to advance in ML, cloud, and data engineering.

Qualifications

• 3+ years cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake, MLflow experience.
• Proficiency in Python, SQL, Spark, CI/CD and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Data Engineer or ML Professional certification preferred; strong consulting/DevOps background.

Responsibilities

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

Skills

Databricks

Apache Spark

Delta Lake

MLflow

Python

SQL

CI/CD

Terraform

Databricks CLI

Agile/DevOps

Tools

Databricks

Spark

Job description

RevStar, a cloud-native innovation partner, seeks a Data & AI Engineer to design Databricks Lakehouse solutions and production AI workloads. You’ll collaborate with data architects, scientists, and client leaders to turn complex data into scalable models, with ownership and high performance at the core.

We value self-mastery, ownership, and shared destiny, and offer remote-first work across the US, strong client exposure, and opportunities to advance in ML, cloud, and data engineering.