Senior Snowflake Data Engineer (Remote + AWS)

Unavailable; Ciudad de Mendoza; Hybrid; ARS 216,357,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to own and enhance a Snowflake-based enterprise data platform within a regulated healthcare environment. You will lead ingestion pipelines, build robust dbt models, and drive data quality across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong Snowflake, dbt, AWS, and Python skills, plus experience mentoring engineers and coordinating with Cloud/DevOps, Analytics, Security, and stakeholders.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating Snowflake including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Experience with AWS data services (S3, ingestion patterns).
• Experience with Argo Workflows on Kubernetes or similar workflow orchestration.
• Python or equivalent language for data engineering and automation.
• Strong data modeling, pipeline dependencies, and data quality practices.
• Experience mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, and stakeholders.
• Excellent written and verbal English communication, with client-facing ability.

Responsibilities

• Provide senior technical ownership for the Data Platform service tower during LatAm coverage window.
• Operate and improve Snowflake production and non-production environments, including warehouse configuration and monitoring.
• Administer data access with least-privilege controls and audit-ready practices.
• Operate and improve data ingestion via Fivetran/HVR and custom pipelines; manage schema changes and failures.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION layers with proper testing and CI/CD.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate with Cloud/DevOps to manage Argo/Kubernetes workloads and capacity dependencies.
• Define data quality and observability standards and implement lineage and alerts.
• Lead major data incidents and post-incident reviews; drive preventive actions.
• Mentor engineers and ensure effective handoffs across distributed teams.

Skills

SQL

Python

dbt

Snowflake

AWS

Data modeling

Observability & incident management

Leadership & mentoring

English communication

Education

Bachelor's degree in a technical field

Tools

Snowflake

dbt

Fivetran

HVR

AWS data services

Argo Workflows

Kubernetes

Python

Tableau Cloud

Job description

AgileEngine is seeking a Senior Data Engineer to own and enhance a Snowflake-based enterprise data platform within a regulated healthcare environment. You will lead ingestion pipelines, build robust dbt models, and drive data quality across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong Snowflake, dbt, AWS, and Python skills, plus experience mentoring engineers and coordinating with Cloud/DevOps, Analytics, Security, and stakeholders.