Data & AI Engineer — Databricks Lakehouse, Remote

RevStar Consulting Inc; Idaho; Hybrid; 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

Growth Opportunities

Outings & Volunteer Opportunities

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc. is seeking a Data & AI Engineer to design and implement Databricks Lakehouse pipelines across multi-cloud environments. You will collaborate with data scientists, architects, and client leaders to productionize AI models and streamline navigation from data to decision-making.

You will drive data governance, CI/CD, and IaC practices, while delivering scalable, cloud-native architectures for diverse enterprise clients in a remote-first setting.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years hands-on Databricks, Spark, Delta Lake, MLflow.
• Proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Certification or Databricks ML Professional certification is strongly preferred.
• Experience in fast-paced Agile/DevOps consulting environments delivering cloud-agnostic architectures.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments (AWS, Azure, GCP).
• Operationalize AI models inside Databricks using MLflow; set up CI/CD and IaC deployments.
• Collaborate with client leaders and engineers to translate data needs into practical solutions; document clearly.

Skills

Cloud-native data engineering

Databricks / Spark

Python

SQL

CI/CD

Infrastructure as Code

Databricks certification

Consulting mindset

Education

Bachelor's degree or equivalent

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Job description

RevStar Consulting Inc. is seeking a Data & AI Engineer to design and implement Databricks Lakehouse pipelines across multi-cloud environments. You will collaborate with data scientists, architects, and client leaders to productionize AI models and streamline navigation from data to decision-making.

You will drive data governance, CI/CD, and IaC practices, while delivering scalable, cloud-native architectures for diverse enterprise clients in a remote-first setting.