Senior Data Engineer: Ingestion & Connectors (Remote LATAM)

EPAM Systems Inc; Municipio de Rincón de los Sauces; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor agreement with payment inD

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering teams. You will design scalable ingestion pipelines and connectors to ingest data from diverse sources into our cybersecurity platform.

You'll work directly with customers to understand data sources, security requirements, and workflows, and you will deploy solutions across cloud environments (AWS/Azure/GCP) using Python and Go, Docker, and Kubernetes.

Qualifications

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.

Responsibilities

• Design, develop, and maintain 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 their 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.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL & NoSQL databases

Docker

Kubernetes

CI/CD practices

Distributed systems design

Customer-facing communication

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering teams. You will design scalable ingestion pipelines and connectors to ingest data from diverse sources into our cybersecurity platform.

You'll work directly with customers to understand data sources, security requirements, and workflows, and you will deploy solutions across cloud environments (AWS/Azure/GCP) using Python and Go, Docker, and Kubernetes.