Remote Databricks Engineer — Lakehouse & MLOps

RevStar Consulting Inc; Ciudad de México; Sur place; MXN 2 110 000 - 3 282 000; Temps partiel

Avantages offerts par ce poste

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 Opportuni…

Résumé du poste

RevStar Consulting Inc. is seeking a Databricks Engineer to design, deploy, and optimize large-scale data pipelines across multi-cloud environments. You will work closely with data architects, scientists, and client leaders to deliver production-grade AI-enabled data products.

The position emphasizes Lakehouse architecture, MLOps, and governance, with a remote-first setup for US-based time zones. Relevant Databricks certifications are mandatory.

Qualifications

• 3+ years data engineering with big data and cloud-native architectures.
• 2+ years with Databricks including Spark, Delta Lake, MLflow.
• Databricks Certification (Mandatory): Data Engineer Associate or higher.
• Proficiency in Python, SQL, and Spark-based frameworks.
• Experience building and optimizing large-scale ETL/ELT pipelines.
• Strong understanding of Lakehouse architecture and cloud-agnostic data solutions.
• Familiar with CI/CD and IaC for Databricks (Terraform, Databricks CLI).
• Knowledge of data governance, security, and compliance best practices.
• Experience in Agile DevOps/MLOps environments.

Responsabilités

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments.
• Implement robust Lakehouse architectures that seamlessly process both structured and unstructured data at enterprise scale.
• Automate data ingestion and storage workflows to support downstream analytics and real-time operational reporting.
• Fine-tune Spark jobs for low latency and high throughput.
• Implement CI/CD pipelines and IaC for automated deployments.
• Build automated monitoring, alerting, and data quality validation frameworks to guarantee pipeline reliability.
• Partner with ML engineers to build production-grade feature pipelines.
• Operationalize AI/ML models into secure, scalable production environments for client applications.

Connaissances

Python

SQL

Spark

Big Data

ETL/ELT

Data Governance

Agile

DevOps/MLOps

Formation

Databricks Certifications mandatory

Outils

Terraform

Databricks CLI

CI/CD

Airflow

Kubernetes

Delta Lake

Description du poste

RevStar Consulting Inc. is seeking a Databricks Engineer to design, deploy, and optimize large-scale data pipelines across multi-cloud environments. You will work closely with data architects, scientists, and client leaders to deliver production-grade AI-enabled data products.

The position emphasizes Lakehouse architecture, MLOps, and governance, with a remote-first setup for US-based time zones. Relevant Databricks certifications are mandatory.