Remote Databricks Engineer - Lakehouse & MLOps

Rev Star; United States; Remote; USD 120,000 - 180,000; Part time

Benefits offered by this job

Remote-First

Health coverage

401(k) retirement plan

Learning & development stipend

Mentorship & coaching

Growth opportunities

Team outings & volunteering

Job summary

RevStar is seeking a Databricks Engineer to design and optimize data pipelines and MLOps frameworks across AWS, Azure, and GCP. You will collaborate with data architectures, scientists, and client leaders to deliver scalable, production-ready AI models and data solutions.

The role emphasizes performance tuning, automation, and governance, with a remote-first, contract arrangement and strong emphasis on Databricks certifications and cloud-agnostic practices.

Qualifications

• 3+ years of hands-on data engineering experience.
• 2+ years with Databricks, Spark, Delta Lake, MLflow.
• Databricks Certification required (Mandatory).
• Proficiency in Python, SQL, and Spark-based frameworks.
• Experience building large-scale ETL/ELT pipelines.
• Knowledge of lakehouse architecture and cloud-agnostic data solutions.

Responsibilities

• Design, build, and optimize lakehouse pipelines across multi-cloud environments.
• Fine-tune Spark jobs for low latency and cost efficiency.
• Implement CI/CD and IaC (Terraform, Databricks CLI) for deployments.
• Collaborate with ML engineers to productionize feature engineering and model deployment.

Skills

Python

SQL

Spark

Databricks

MLflow

Data pipelines

Education

Databricks Certification (Mandatory)

Tools

Terraform

Databricks CLI

Airflow

Job description

RevStar is seeking a Databricks Engineer to design and optimize data pipelines and MLOps frameworks across AWS, Azure, and GCP. You will collaborate with data architectures, scientists, and client leaders to deliver scalable, production-ready AI models and data solutions.

The role emphasizes performance tuning, automation, and governance, with a remote-first, contract arrangement and strong emphasis on Databricks certifications and cloud-agnostic practices.