Senior Data & AI Engineer - Lakehouse & ML Ops

RevStar; Idaho; Remote; USD 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Paid Time Off

Remote-First

Health Coverage

401(k) Plan

Learning Stipend

Mentorship

Professional Growth

Team Outings

Zusammenfassung

RevStar is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production AI models. You will work with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI deployments.

The role emphasizes fast delivery, strong ownership, and enterprise-grade data governance. In this remote-centric role, you will design ETL/ELT pipelines, tune Spark workloads, and implement CI/CD with Terraform and Databricks CLI to enable robust,

Qualifikationen

• 3+ years in cloud-native data engineering with Databricks, Spark, Delta Lake, and MLflow.
• Strong Python, SQL, Spark, CI/CD, and Terraform/Databricks CLI mastery.
• Certified Databricks Data Engineer or ML Professional preferred.
• Proven consulting experience in fast-paced Agile/DevOps environments.

Aufgaben

• Design, build, and optimize scalable Lakehouse pipelines across multi-cloud environments.
• Operationalize AI models inside Databricks using MLflow and CI/CD pipelines.
• Enforce data governance, collaborate with client tech leaders, and document solutions.

Kenntnisse

Python

SQL

Spark

CI/CD

Tools

Databricks

Terraform

MLflow

Jobbeschreibung

RevStar is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production AI models. You will work with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI deployments.

The role emphasizes fast delivery, strong ownership, and enterprise-grade data governance. In this remote-centric role, you will design ETL/ELT pipelines, tune Spark workloads, and implement CI/CD with Terraform and Databricks CLI to enable robust,