Data & AI Engineer — Lakehouse & ML Ops (Remote)

RevStar Consulting Inc; 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 Opportunt"

Collaborative, Innovative Culture

Job summary

RevStar Consulting Inc is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production AI workloads. You will partner with data architects, scientists, and client leaders to deliver scalable data platforms.

This remote-first role emphasizes rapid delivery, cloud-agnostic architectures, and strong data governance. We value ownership, continuous learning, and collaboration across multi-cloud environments.

Qualifications

• 3+ years in cloud-native data engineering with Databricks, Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, Spark, CI/CD, and IaC tooling.
• Databricks certification is strongly preferred.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on multi-cloud platforms.
• Collaborate with data scientists and ML engineers to productionize AI models.
• Establish data governance, CI/CD, and IaC practices with clear documentation.

Skills

Python

SQL

Spark

Databricks

Delta Lake

MLflow

CI/CD

Terraform

Databricks CLI

Cloud architectures

Tools

Databricks CLI

Terraform

Job description

RevStar Consulting Inc is seeking a Data & AI Engineer to build greenfield Lakehouse solutions and production AI workloads. You will partner with data architects, scientists, and client leaders to deliver scalable data platforms.

This remote-first role emphasizes rapid delivery, cloud-agnostic architectures, and strong data governance. We value ownership, continuous learning, and collaboration across multi-cloud environments.