Senior Data Ingestion Engineer (Python/Go) – Remote

Opsarmy; Santa Fe Capital; A distancia; ARS 182.771.000 - 274.156.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customers and engineering, designing scalable ingestion mechanisms and connectors for enterprise environments.

This role blends data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure, and scalable data pipelines in a remote LATAM setup.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third‑party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.

Responsabilidades

• 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 integration constraints.
• Participate in technical onboarding processes, from discovery and architecture design through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• 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.
• Build and operate containerized services using Docker and Kubernetes; deploy across AWS, Azure, and GCP.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker

Kubernetes

Cloud platforms

CI/CD

Distributed systems

Herramientas

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customers and engineering, designing scalable ingestion mechanisms and connectors for enterprise environments.

This role blends data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure, and scalable data pipelines in a remote LATAM setup.