GCP Data engineering - Remoto!!

UST; United States; Remote; MXN 900,000 - 1,500,000; Full time

Job summary

UST Global Mexico is seeking an experienced GCP data architect to join our engineering team and help us design, build, and operate scalable data platforms on Google Cloud for diverse software products. You will drive data pipelines, BigQuery schemas, and production APIs, collaborating with cross-functional teams to implement best practices in CI/CD, IaC, and GenAI governance.

A 6+ year background in cloud/data engineering is required.

Qualifications

• 6+ years of industry experience in cloud, data, or platform engineering.
• Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage).
• Experience building and deploying backend APIs and cloud-native services.
• Solid containerization and orchestration with Docker and Kubernetes (GKE).
• Proficiency in Python for data processing and backend services.
• Strong SQL skills with BigQuery or similar data warehouses.
• Experience with Vertex AI including pipelines and deployment.
• Experience building and operating production data pipelines and ETL/ELT workflows.
• Experience with CI/CD (GitHub Actions, Jenkins) including testing and promotion.
• Knowledge of IaC, cloud reliability, and incident response.
• Experience enabling GenAI capabilities with production-ready governance.
• Self-directed problem solver with strong cross-team collaboration.
• Excellent communication skills and ability to explain complex concepts clearly.

Skills

GCP

BigQuery

Airflow

Dataproc

Cloud Storage

Python

SQL

Vertex AI

ETL/ELT

CI/CD

Kubernetes

Docker

IaC

GenAI governance

Communication

Education

Bachelor's degree in computer science, engineering, or related field

Tools

GitHub Actions

Jenkins

Job description

UST Global Mexico is looking for an experienced and passionate GCP data architect to join our engineering team and help us develop and maintain various software products.

Required:

• 6+ years of industry experience in cloud engineering, data engineering, or platform engineering
• Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
• Experience building and deploying backend APIs and cloud-native services
• Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
• Proficiency in Python for data processing, orchestration, or backend services
• Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
• Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)
• Experience building and operating data pipelines and ETL/ELT workflows in a production environment
• Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
• Understanding of infrastructure-as-code, cloud reliability, and production incident response
• Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns
• Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
• Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
• Bachelor's degree in computer science, engineering, or related field