Senior Data Ingestion & Integrations Engineer - Remote LATAM

Bluelightconsulting; Rosario; Remoto; ARS 185.448.000 - 278.173.000; Tempo integral

Benefícios oferecidos por esta vaga

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Resumo da vaga

Darwoft is partnering with an innovative cybersecurity company to hire a Senior Data Engineer focused on Data Ingestion, Integrations, and Connectors. The role bridges enterprise customers and the engineering team, working across identities, cloud platforms, and security data pipelines.

You will design scalable ingestion solutions, build robust connectors, and collaborate with architects, sales engineering, and customer success to accelerate time-to-value for deployments.

Qualificações

• 10+ years of professional software/data engineering experience.
• Strong Python and Go programming experience.
• Experience designing data ingestion pipelines and integration platforms.
• Experience with enterprise systems and cloud platforms.

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 initial discovery and architecture design through production 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 engineering 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 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.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Conhecimentos

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

CI/CD practices

SQL

NoSQL

Ferramentas

Docker

Kubernetes

Descrição da vaga

Darwoft is partnering with an innovative cybersecurity company to hire a Senior Data Engineer focused on Data Ingestion, Integrations, and Connectors. The role bridges enterprise customers and the engineering team, working across identities, cloud platforms, and security data pipelines.

You will design scalable ingestion solutions, build robust connectors, and collaborate with architects, sales engineering, and customer success to accelerate time-to-value for deployments.