Senior Data Engineer: Ingestion & Connectors (Remote LATAM)

Proofpoint; Tandil; À distance; ARS 138 998 000 - 200 775 000; Plein temps

Avantages offerts par ce poste

Contractor agreement with payment in J

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Résumé du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors. You will bridge customers and engineering, designing scalable ingestion pipelines and connectors from diverse data sources to our cybersecurity platform.

You will work directly with enterprise environments, build with Python/Go, and deploy across AWS, Azure, and GCP. This role is 100% remote for LATAM with a full-time engagement.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong software development with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Production experience with Docker and Kubernetes.
• Cloud experience: AWS, Azure, GCP.
• Strong CI/CD and Git workflows.
• Ability to translate customer requirements into technical solutions.
• Excellent communication and customer-facing skills.

Responsabilités

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with customers to understand environments and integration constraints.
• Participate in onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment issues across multiple layers.
• Optimize ingestion performance and reliability.
• Collaborate with Solution Architects, Sales Engineering, and Product teams.
• Act as a trusted technical advisor on data architecture and security integrations.
• Identify recurring requirements and convert them into reusable connectors.
• Contribute insights to product roadmap and support production adoption.

Connaissances

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

AWS

CI/CD

Outils

Docker

Kubernetes

Description du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors. You will bridge customers and engineering, designing scalable ingestion pipelines and connectors from diverse data sources to our cybersecurity platform.

You will work directly with enterprise environments, build with Python/Go, and deploy across AWS, Azure, and GCP. This role is 100% remote for LATAM with a full-time engagement.