Senior Data Ingestion Engineer | Remote LATAM (Python/Go)

Bairesdev; Municipio de Rincón de los Sauces; Teletrabalho; ARS 108 110 000 - 185 331 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Resumo da oferta

Darwoft is partnering with a cybersecurity-focused initiative to hire a Senior Data Engineer (Python/Go) for data ingestion, connectors, and integrations. You will work directly with enterprise customers to design scalable ingestion pipelines, process security data, and integrate with cloud platforms.

The role requires strong backend and data engineering skills, customer-facing delivery, and the ability to operate across AWS/Azure/GCP environments. 100% remote, LATAM region.

Qualificações

• 10+ years of professional Software/Data/Platform Engineering experience.
• Proficient in Python and Go development.
• Experience designing and consuming REST APIs.
• Hands-on in data ingestion pipelines, connectors, or integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Cloud experience with AWS, Azure, or GCP.
• Docker and Kubernetes in production environments.
• CI/CD practices and Git-based workflows.
• Designing reliable, scalable distributed systems.
• Debugging across APIs, infra, networks, apps, and data pipelines.
• Direct customer-facing collaboration and technical partnerships.
• Translate complex requirements into pragmatic solutions.
• Strong communication for customer-facing conversations.
• Autonomy and ownership in solving ambiguous problems.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, applications, and SIEMs.
• Work with customers to understand environments, data flows, APIs, security requirements.
• Onboard projects from discovery through deployment in production.
• Design scalable ingestion architectures for high-volume data (security events, logs, identity activity, telemetry).
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• Develop backend services primarily with Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Build and operate Docker/Kubernetes-based containerized services.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot deployments across application, infra, network, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Eng, Customer Success, Product, and Eng teams.
• Advise customers on data architecture, collection strategies, and security integrations.
• Identify recurring requirements and convert to reusable connectors or platform capabilities.
• Contribute insights to product roadmap.
• Support production adoption and time-to-value improvements.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Conhecimentos

Python

Go

REST APIs

Data ingestion

Cloud platforms

SQL/NoSQL

Docker

Kubernetes

CI/CD

Customer-facing

Ferramentas

AWS

Azure

GCP

Docker

Kubernetes

Descrição da oferta de emprego

Darwoft is partnering with a cybersecurity-focused initiative to hire a Senior Data Engineer (Python/Go) for data ingestion, connectors, and integrations. You will work directly with enterprise customers to design scalable ingestion pipelines, process security data, and integrate with cloud platforms.

The role requires strong backend and data engineering skills, customer-facing delivery, and the ability to operate across AWS/Azure/GCP environments. 100% remote, LATAM region.