Remote Data & AI Engineer: Lakehouse & MLOps Specialist

RevStar; Washington (District of Columbia); 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 Activities

Collaborative, Innovative Culture

Job summary

RevStar is hiring a Data & AI Engineer to design, build, and optimize scalable Lakehouse solutions across cloud environments. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

Core work includes Databricks Lakehouse design, ETL/ELT pipelines, and MLflow integration, with a focus on cloud-agnostic architectures and client communication in a fast-paced consulting environment.

Qualifications

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

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments.
• Fine-tune Spark jobs for low latency and high throughput while ensuring cost-efficiency.
• Operationalize AI models inside Databricks using MLflow and implement CI/CD pipelines with IaC.

Skills

Python

SQL

Spark

CI/CD

IaC

Tools

Databricks

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is hiring a Data & AI Engineer to design, build, and optimize scalable Lakehouse solutions across cloud environments. You will collaborate with data architects, scientists, and client leaders to turn complex data into production-ready AI models.

Core work includes Databricks Lakehouse design, ETL/ELT pipelines, and MLflow integration, with a focus on cloud-agnostic architectures and client communication in a fast-paced consulting environment.