Remote Cloud Data Engineer | Snowflake + Azure + Airflow

UST España & Latam; Spain (TX); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health Care Plan

Internet Connectivity

Life and Accident Insurances

Training platforms access

Career development plans

Salary payment options (12 or 14)

Job summary

UST is seeking a Data Engineer to design, develop, and optimize scalable data pipelines on Snowflake and Azure. The role emphasizes building data transformation frameworks with dbt, managing Airflow DAGs, and delivering reliable data solutions for enterprise analytics.

Ideal candidates will have hands-on Python scripting, CI/CD with Docker/Kubernetes, and strong data governance and security practices, with experience in financial services or asset management environments preferred.

Qualifications

• 5+ years of Data Engineering experience.
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Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake and Azure services.
• Build and optimize robust data transformation frameworks using dbt.
• Develop, manage, and monitor Apache Airflow DAGs for workflow orchestration and scheduling.
• Create reusable Python scripts and automation utilities for data processing and integrations.
• Implement CI/CD practices and deployment strategies using Docker and Kubernetes.
• Ensure data quality, governance, security, and performance optimization across data platforms.
• Collaborate with architects, business stakeholders, analysts, and engineering teams to deliver reliable data solutions.
• Troubleshoot production issues and drive continuous improvements in platform reliability and scalability.
• Support cloud-native architectures and data modernization initiatives.
• Contribute to data governance, security best practices, and operational excellence.

Skills

Snowflake

dbt

Apache Airflow

Python

Azure Cloud

Docker

Kubernetes

CI/CD

Data Governance

Automation

APIs

Tools

Snowflake

dbt

Airflow

Python

Azure

Docker

Kubernetes

Terraform

Snowpark

Job description

UST is seeking a Data Engineer to design, develop, and optimize scalable data pipelines on Snowflake and Azure. The role emphasizes building data transformation frameworks with dbt, managing Airflow DAGs, and delivering reliable data solutions for enterprise analytics.

Ideal candidates will have hands-on Python scripting, CI/CD with Docker/Kubernetes, and strong data governance and security practices, with experience in financial services or asset management environments preferred.