Remote Data & AI Engineer — Lakehouse & ML Ops

RevStar; Phoenix (AZ); Remoto; USD 130.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Paid Time Off

Remote-first

Health Coverage

401(k) Retirement Plan

Learning stipend

Mentorship & coaching

Growth opportunities

Team events

Collaborative culture

Descrizione del lavoro

RevStar is seeking a Data & AI Engineer to design and deliver production-grade Lakehouse solutions. You will work with data architects, scientists, and client leaders to turn complex data into scalable ML-ready models across multi-cloud environments.

The role emphasizes fast, impactful engineering with robust governance and automation. Responsibilities include building ETL/ELT pipelines, optimizing Spark workloads, and operationalizing AI models with MLflow.

Competenze

• 3+ years in cloud-native data engineering with 2+ years Databricks, Spark, Delta Lake, MLflow.
• Proficiency in Python, SQL, Spark, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI).
• Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification preferred.
• Experience in fast-paced Agile/DevOps consulting environments and cloud-agnostic architectures.

Mansioni

• Design, build, and optimize scalable ETL/ELT pipelines using Spark and Delta Lake across multi-cloud environments (AWS, Azure, GCP).
• Implement robust Lakehouse architectures for structured and unstructured data at enterprise scale.
• Automate data ingestion, storage, and feature engineering workflows for analytics and real-time AI workloads.
• Fine-tune jobs for performance and costs; collaborate with ML engineers and data scientists to operationalize AI models in Databricks using MLflow.
• Establish CI/CD pipelines and IaC to deploy production-grade solutions; enforce security and governance standards.

Conoscenze

Python

SQL

Apache Spark

Delta Lake

MLflow

CI/CD

Terraform

Databricks

Consulting mindset

Agile/DevOps

Strumenti

Databricks CLI

Terraform

Descrizione del lavoro

RevStar is seeking a Data & AI Engineer to design and deliver production-grade Lakehouse solutions. You will work with data architects, scientists, and client leaders to turn complex data into scalable ML-ready models across multi-cloud environments.

The role emphasizes fast, impactful engineering with robust governance and automation. Responsibilities include building ETL/ELT pipelines, optimizing Spark workloads, and operationalizing AI models with MLflow.