Senior Data Ingestion Engineer - Remote LATAM

Sophilabs, Inc.; Tandil; Remoto; ARS 92.724.000 - 185.448.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines and connectors to ingest data from complex environments.

This role blends data engineering, software engineering, and cloud architecture, with heavy customer interaction to understand data sources, security requirements, and workflows.

Competenze

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development skills.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with cloud providers and distributed systems.

Mansioni

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, applications, security platforms, and SIEM.
• Work directly with enterprise customers to understand environments and integration constraints.
• Build scalable ingestion architectures for high-volume data like security events.
• Deploy and operate solutions across AWS, Azure, and GCP; use Docker and Kubernetes.

Conoscenze

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Customer-facing

Strumenti

Docker

Kubernetes

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines and connectors to ingest data from complex environments.

This role blends data engineering, software engineering, and cloud architecture, with heavy customer interaction to understand data sources, security requirements, and workflows.