Senior Data Engineer: Ingestion & Integrations (Remote LATAM)

Atmosera; La Pampa; A distancia; ARS 91.385.000 - 167.540.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD payment

Remote work

Public holidays (Argentina)

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and connectors for a cybersecurity platform. You will engage with enterprise customers to understand their data sources, architectures, and workflows, then design reliable ingestion solutions.

You’ll combine data engineering, software development, cloud infrastructure, and technical consulting to deliver scalable, secure data pipelines across cloud environments.

Formación

• 10+ years of professional software/data/platform engineering or related work.
• Expert in Python and Go development.
• Experience with REST APIs and data ingestion pipelines.
• Proficiency with SQL and NoSQL databases.
• Experience with Docker and Kubernetes in production.
• Cloud experience on AWS, Azure, or GCP.

Responsabilidades

• Design, develop, and maintain data collectors, ingestion services, and connectors.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs.
• Work with customers to understand environments, data flows, APIs, and constraints.
• Design scalable ingestion architectures for high-volume data like events and logs.
• Build integrations using REST, cloud-native services, and event-driven patterns.
• Develop backend services using Python and/or Go; use Docker and Kubernetes for deployment.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Descripción del empleo

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and connectors for a cybersecurity platform. You will engage with enterprise customers to understand their data sources, architectures, and workflows, then design reliable ingestion solutions.

You’ll combine data engineering, software development, cloud infrastructure, and technical consulting to deliver scalable, secure data pipelines across cloud environments.