Remote Data & AI Engineer — Lakehouse & MLOps

RevStar; Virginia Beach (VA); Remote; 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

Professional Growth Opportunities

Company Outings & Volunteer Opportunit

Collaborative, Innovative Culture

Job summary

RevStar is hiring a Data & AI Engineer to design and implement scalable Databricks lakehouse pipelines across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI solutions, emphasizing robust MLflow workflows and automated deployments.

Ideal candidates have 3+ years in cloud-native data engineering with 2+ years in Databricks, Spark, Delta Lake, and MLflow, plus strong Python/SQL skills and IaC experience.

Qualifications

• 3+ years in cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake, and MLflow experience.
• High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred and will set your application apart.
• Proven track record operating in fast-paced Agile/DevOps consulting environments, delivering cloud-agnostic architectures with exceptional client communication.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi-cloud environments.
• Implement robust Lakehouse architectures and automate data ingestion, storage, and feature engineering workflows.
• Operationalize AI models inside Databricks using MLflow for tracking, versioning, and deployment; manage CI/CD deployments.
• Collaborate with data architects, scientists, and client leaders to translate complex AI data requirements into clear business outcomes.

Skills

Python

SQL

Databricks

Apache Spark

Delta Lake

MLflow

CI/CD

Infrastructure as Code

Terraform

Databricks CLI

Agile/DevOps

Client communication

Tools

AWS

Azure

GCP

Databricks CLI

Terraform

Job description

RevStar is hiring a Data & AI Engineer to design and implement scalable Databricks lakehouse pipelines across AWS, Azure, and GCP. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI solutions, emphasizing robust MLflow workflows and automated deployments.

Ideal candidates have 3+ years in cloud-native data engineering with 2+ years in Databricks, Spark, Delta Lake, and MLflow, plus strong Python/SQL skills and IaC experience.