Remote Data & AI Engineer: Lakehouse & ML Ops

RevStar Consulting Inc; Illinois; 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 Consulting Inc is seeking a Data & AI Engineer to design and productionize data pipelines and AI models in a cloud-native, multi-cloud environment. You will work with data architects, scientists, and client leaders to turn complex data into scalable Lakehouse solutions and production-grade AI capabilities.

You bring 3+ years in cloud-native data engineering with Databricks, Spark, Delta Lake, and MLflow, plus strong Python/SQL skills and CI/CD with IaC.

Qualifications

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

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines using Spark and Delta Lake in multi-cloud environments.
• Fine-tune Spark jobs for performance, and operationalize AI models inside Databricks using MLflow; implement CI/CD and IaC.
• Collaborate with client leaders and engineers to translate data requirements into actionable AI/ML solutions and documentation.

Skills

Cloud-native data engineering

Databricks experience

Apache Spark

Delta Lake

MLflow

Education

Databricks Certified Data Engineer (Associate/Professional)

Databricks ML Professional certification

Tools

Python

SQL

Spark frameworks

CI/CD

Terraform

Databricks CLI

Job description

RevStar Consulting Inc is seeking a Data & AI Engineer to design and productionize data pipelines and AI models in a cloud-native, multi-cloud environment. You will work with data architects, scientists, and client leaders to turn complex data into scalable Lakehouse solutions and production-grade AI capabilities.

You bring 3+ years in cloud-native data engineering with Databricks, Spark, Delta Lake, and MLflow, plus strong Python/SQL skills and CI/CD with IaC.