Senior Data Ingestion Engineer - Remote

Arionkoder; Ciudad de Mendoza; A distancia; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Remote work flexibility

USD-based pay

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a remote LatAm team. You’ll design and build connectors, ingestion pipelines, and dbt models, interfacing with Snowflake, AWS, and Kubernetes-based environments.

You’ll work directly with customers to understand needs and deliver scalable, secure data solutions. You will collaborate with solution architects and cross-functional teams to ensure reliable data platforms, robust monitoring, and rapid

Formación

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong Snowflake experience including data-layer design and production troubleshooting.
• Advanced SQL and dbt for transformations, testing, lineage, and deployments.
• Experience with Fivetran or HVR and ingestion pipelines.
• Hands-on AWS data services experience, especially S3 ingestion patterns.
• Experience with Argo Workflows on Kubernetes or similar tools.
• Proficiency in Python for data engineering and automation.
• Solid data modeling, dependencies, schema evolution, and data quality.
• Observability, logging, alerting, and incident-management for production data platforms.
• Ability to mentor engineers and collaborate with Cloud/DevOps, Analytics, Security, Governance, and stakeholders.
• Strong written and verbal English communication; available for Pacific Time hours.

Responsabilidades

• Own the Data Platform service tower during LatAm hours and handle escalations.
• Operate Snowflake production and non-production environments and monitor performance.
• Manage data access with least-privilege controls and auditability.
• Oversee ingestion across Fivetran/HVR and custom pipelines with failure recovery.
• Design and maintain pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo/Kubernetes workloads and deployments.
• Define data quality and observability standards and implement runbooks.
• Lead major data incidents and post-incident reviews with preventive actions.
• Mentor mid-level engineers and ensure effective cross-team handoffs.
• Participate in customer-facing sessions and onsite engagements when needed.

Conocimientos

5+ years of data engineering

Advanced SQL

Python

English communication

Herramientas

Snowflake

dbt

Fivetran

HVR

AWS (S3)

Argo Workflows on Kubernetes

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join a remote LatAm team. You’ll design and build connectors, ingestion pipelines, and dbt models, interfacing with Snowflake, AWS, and Kubernetes-based environments.

You’ll work directly with customers to understand needs and deliver scalable, secure data solutions. You will collaborate with solution architects and cross-functional teams to ensure reliable data platforms, robust monitoring, and rapid