Senior Data Engineer - Ingestion & Integrations (Remote)

EPAM Systems Inc; Municipio de Rincón de los Sauces; Remote; ARS 169,994,000 - 247,265,000; Full time

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise data sources with a cybersecurity platform. You will work directly with customers to understand environments, design scalable ingestion pipelines, and implement reliable data collectors using Python, Go, REST APIs, and cloud-native services across AWS, Azure, and GCP.

This is a 100% remote, full-time role with international teams, offering strong growth and a hands-on

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development.
• Experience with REST APIs.
• Experience with data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Experience with Docker and Kubernetes.
• Production experience on AWS, Azure, and GCP.
• Customer-facing collaboration and solution architecture.

Responsibilities

• 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.

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise data sources with a cybersecurity platform. You will work directly with customers to understand environments, design scalable ingestion pipelines, and implement reliable data collectors using Python, Go, REST APIs, and cloud-native services across AWS, Azure, and GCP.

This is a 100% remote, full-time role with international teams, offering strong growth and a hands-on