Senior Data Engineer – Ingestion & Connectors (Remote LATAM)

Binagora; Tandil; À distance; ARS 139 086 000 - 216 357 000; Plein temps

Avantages offerts par ce poste

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Résumé du poste

Darwoft is seeking a Senior Data Engineer (Python/Go) for a data ingestion and cloud-focused role on a remote LATAM project. You will design connectors, ingestion pipelines, and integrations with enterprise systems, collaborating with customers to translate complex data landscapes into scalable solutions.

You'll own backend services, work with AWS/Azure/GCP, Docker/Kubernetes, and perform as a trusted advisor across engineering and product teams, delivering reliable data pipelines and

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go development experience.
• Experience building data ingestion pipelines, connectors, or integration platforms.
• Experience with SQL and NoSQL databases.
• Experience deploying and operating on major cloud platforms (AWS, Azure, GCP).
• Experience with containerization and orchestration (Docker, Kubernetes).

Responsabilités

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and constraints.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Connaissances

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

CI/CD

Distributed systems

Customer-facing

Cloud platforms

Outils

Docker

Kubernetes

AWS

Azure

GCP

Description du poste

Darwoft is seeking a Senior Data Engineer (Python/Go) for a data ingestion and cloud-focused role on a remote LATAM project. You will design connectors, ingestion pipelines, and integrations with enterprise systems, collaborating with customers to translate complex data landscapes into scalable solutions.

You'll own backend services, work with AWS/Azure/GCP, Docker/Kubernetes, and perform as a trusted advisor across engineering and product teams, delivering reliable data pipelines and