Remote Data & AI Engineer – Databricks Lakehouse & ML Ops

RevStar; New Jersey; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health Coverage

401(k) Plan

Mentorship & Coaching

Professional Growth Opportunities

Company Outings

Job summary

RevStar is seeking a Data & AI Engineer to design and deploy scalable Lakehouse solutions in a remote-first environment. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models and analytics.

Responsibilities include building ETL/ELT pipelines on multi-cloud platforms with Spark, Delta Lake, and MLflow; tuning jobs, implementing CI/CD and IaC; and enforcing data governance and security standards while delivering clear business

Qualifications

• 3+ years in cloud-native data engineering.
• 2+ years with Databricks, Spark, Delta Lake and MLflow.
• Strong Python and SQL skills.
• Experience with CI/CD and Infrastructure-as-Code.
• Excellent communication with clients and teams.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines on multi-cloud platforms using Spark and Delta Lake.
• Operationalize AI models inside Databricks with MLflow and maintain production workflows.
• Implement CI/CD pipelines and IaC for automated deployments.
• Collaborate with data architects, scientists, and client leaders to deliver measurable business outcomes.
• Enforce data governance, security controls, and documentation.

Skills

Python

SQL

CI/CD

Infrastructure as Code

Cloud-Native Data Eng

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to design and deploy scalable Lakehouse solutions in a remote-first environment. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models and analytics.

Responsibilities include building ETL/ELT pipelines on multi-cloud platforms with Spark, Delta Lake, and MLflow; tuning jobs, implementing CI/CD and IaC; and enforcing data governance and security standards while delivering clear business