Data & AI Engineer - Remote, Lakehouse & ML Ops

RevStar; New York (NY); Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Health Coverage

401(k) Retirement Plan

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Activities

Job summary

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments. You will collaborate with data scientists and client leaders to operationalize AI models inside Databricks using MLflow and implement CI/CD pipelines with Terraform and Databricks CLI.

This remote-friendly role emphasizes production-grade data architectures and fast, impactful engineering work.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years using Databricks, Spark, Delta Lake, and MLflow.
• High proficiency in Python, SQL, Spark frameworks, CI/CD and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Certification (Associate or Professional) strongly preferred; experience in Agile/DevOps consulting.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments (AWS, Azure, GCP).
• Collaborate with data scientists and client leaders to operationalize AI models in Databricks using MLflow.
• Implement CI/CD pipelines and IaC (Terraform, Databricks CLI) for production deployments.
• Translate data requirements into scalable data architectures and clear business outcomes.

Skills

Python

SQL

Apache Spark

MLflow

CI/CD

Terraform

Databricks CLI

Tools

Databricks

Delta Lake

MLflow

Job description

RevStar is seeking a Data & AI Engineer to design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments. You will collaborate with data scientists and client leaders to operationalize AI models inside Databricks using MLflow and implement CI/CD pipelines with Terraform and Databricks CLI.

This remote-friendly role emphasizes production-grade data architectures and fast, impactful engineering work.