Senior Data Ingestion Engineer — Remote (LATAM)

EPAM Systems Inc; Buenos Aires; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion and Integrations to join a cybersecurity-focused platform. You will engage with enterprise customers to understand data sources, security requirements, and workflows, designing scalable ingestion mechanisms to feed our Identity Security observability platform.

You will combine data engineering, cloud infrastructure, and technical consulting to build reliable connectors, pipelines, and ingestion services while ensuring security

Qualifications

• 10+ years of professional software/data engineering or related experience.
• Strong software development with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines or integration platforms.
• Experience integrating complex enterprise systems.
• SQL and NoSQL databases proficiency.
• Production experience with AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• Git-based workflows and CI/CD.
• Strong communication and customer-facing skills.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, and integration constraints.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and network telemetry.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL/NoSQL databases to store, transform, and query data.
• Operate containerized services using Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, and Product teams.
• Act as a trusted advisor on data architecture and security integrations.
• Identify recurring requirements and transform them into reusable connectors.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

SQL/NoSQL

Docker

Kubernetes

CI/CD

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion and Integrations to join a cybersecurity-focused platform. You will engage with enterprise customers to understand data sources, security requirements, and workflows, designing scalable ingestion mechanisms to feed our Identity Security observability platform.

You will combine data engineering, cloud infrastructure, and technical consulting to build reliable connectors, pipelines, and ingestion services while ensuring security