Senior Data Engineer: Remote Snowflake & ETL Platform Lead

Siriusbeach; Ciudad de Mendoza; Hybrid; ARS 183,391,000 - 275,086,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to replace a legacy ingestion tool with an owned ETL pipeline. Operate and improve a Snowflake-based data platform in a regulated healthcare environment.

You will own end-to-end data ingestion, orchestration, dbt models, and data quality, while coordinating with Cloud/DevOps, Analytics, and security teams. The role requires strong SQL, Python, and AWS experience, plus leadership in incident resolution.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on Snowflake experience.
• Advanced SQL and dbt experience.
• Experience with Fivetran or HVR.
• AWS data services experience.
• Argo Workflows on Kubernetes experience.
• Python for data engineering.
• Data modeling, lineage, and quality.
• English communication.

Responsibilities

• Operate and improve a Snowflake-based enterprise data platform.
• Document ingestion and transformation logic, including sources and schemas.
• Design, build, and maintain end-to-end data pipelines and dbt models across RAW/ CURATED/ CONSUMPTION.
• Support AWS S3 data-lake operations and Tableau dependencies.
• Lead or support incident resolution and preventive improvements.

Skills

SQL proficiency

PostgreSQL

Python

DuckDB

Snowflake

dbt

ETL pipelines

AWS data services

Argo Workflows

Kubernetes

Databricks

HVR

Fivetran

Tableau

Tools

dbt

Fivetran

HVR

Argo Workflows

Kubernetes

Databricks

Snowflake

S3

Tableau

Airflow

Job description

AgileEngine is seeking a Senior Data Engineer to replace a legacy ingestion tool with an owned ETL pipeline. Operate and improve a Snowflake-based data platform in a regulated healthcare environment.

You will own end-to-end data ingestion, orchestration, dbt models, and data quality, while coordinating with Cloud/DevOps, Analytics, and security teams. The role requires strong SQL, Python, and AWS experience, plus leadership in incident resolution.