Remote Data & AI Engineer: Lakehouse & MLOps

RevStar; Arizona; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First

Health Coverage

401k Plan

Learning stipend

Peer mentorship

Professional growth

Company outings

Collaborative culture

Job summary

RevStar is seeking a Data & AI Engineer to build Lakehouse pipelines and production-grade AI solutions. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable models that drive real business outcomes.

You will design multi-cloud architectures using Spark, Delta Lake and MLflow, implement CI/CD and IaC, and help ensure secure data governance while delivering fast, tangible results for clients.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years Databricks/Spark experience.
• High proficiency in Python, SQL, Spark, CI/CD, and Terraform or Databricks CLI.
• Active Databricks certification (Associate/Professional) preferred.
• Experience in Agile/DevOps consulting and cloud-agnostic architectures.

Responsibilities

• Design, build, and optimize Databricks Lakehouse pipelines across multi-cloud environments.
• Operationalize AI models with MLflow and maintain CI/CD pipelines.
• Collaborate with client leaders to translate data requirements into production-ready solutions.

Skills

Cloud data eng

Python/SQL/Spark

Databricks cert

Agile/DevOps mindset

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to build Lakehouse pipelines and production-grade AI solutions. You will collaborate with data architects, scientists, and client leaders to turn complex data into scalable models that drive real business outcomes.

You will design multi-cloud architectures using Spark, Delta Lake and MLflow, implement CI/CD and IaC, and help ensure secure data governance while delivering fast, tangible results for clients.