Remote Data & AI Engineer — Databricks Lakehouse

RevStar; Springfield (IL); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First

Health Coverage

401(k)

Learning stipend

Mentorship & Coaching

Growth opportunities

Team events

Job summary

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable data pipelines for lakehouse architectures across multi-cloud environments. You’ll work with data scientists and engineers to productionize AI models in Databricks and drive robust CI/CD and IaC practices.

The role emphasizes collaboration with client leaders, data governance, and delivering enterprise-grade analytics solutions.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake, and MLflow experience.
• Proficient in Python, SQL, Spark, CI/CD, and IaC (Terraform or Databricks CLI).
• Databricks Certification (Associate or Professional) or ML Pro certification preferred.
• Experience in Agile/DevOps consulting and client communication.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments.
• Fine-tune Spark jobs for low latency and high throughput; collaborate with ML engineers to operationalize AI models in Databricks.
• Implement CI/CD pipelines and IaC for automated deployments.
• Enforce data governance and collaborate with client leaders to translate data requirements into outcomes.
• Provide clean technical documentation and lead solution handoffs to client engineering teams.

Skills

Databricks

Apache Spark

Delta Lake

MLflow

Python

SQL

CI/CD

Infrastructure as Code

Education

Databricks Certification (Associate/Professional)

Tools

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable data pipelines for lakehouse architectures across multi-cloud environments. You’ll work with data scientists and engineers to productionize AI models in Databricks and drive robust CI/CD and IaC practices.

The role emphasizes collaboration with client leaders, data governance, and delivering enterprise-grade analytics solutions.