Remote Data & AI Engineer — Databricks Lakehouse & ML Ops

RevStar; Texas; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health Coverage

401(k)

Mentorship & Coaching

Growth opportunities

Company outings

Job summary

RevStar is seeking a Data & AI Engineer to design and build robust Lakehouse pipelines and production-grade AI workflows. You will collaborate with data architects, scientists, and client leaders to deliver scalable, cloud-agnostic solutions that drive real business impact.

The role emphasizes fast-paced delivery, strong Python/SQL, Spark and MLflow expertise, and the ability to operate in an Agile/DevOps consulting environment with remote collaboration.

Qualifications

• 3+ years in cloud-native data engineering with hands-on Databricks, Spark, Delta Lake, and MLflow experience.
• High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Databricks certifications are preferred and valued.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments.
• Operationalize AI models with MLflow and maintain production-grade CI/CD pipelines.
• Enforce data governance and collaborate with client leaders to translate requirements into solutions.

Skills

Python

SQL

Apache Spark

CI/CD

Terraform

Databricks

Tools

Databricks

Delta Lake

MLflow

Terraform CLI

Job description

RevStar is seeking a Data & AI Engineer to design and build robust Lakehouse pipelines and production-grade AI workflows. You will collaborate with data architects, scientists, and client leaders to deliver scalable, cloud-agnostic solutions that drive real business impact.

The role emphasizes fast-paced delivery, strong Python/SQL, Spark and MLflow expertise, and the ability to operate in an Agile/DevOps consulting environment with remote collaboration.