Senior Data Ingestion Engineer - Cloud Security (Remote LATAM)

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

Benefits offered by this job

Contractor agreement with payment in -

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our remote LATAM project on Identity Security / Cybersecurity platforms. You will work closely with enterprise customers, design scalable ingestion solutions, and collaborate across engineering, solution architects, and security teams.

The role requires 10+ years in software/data engineering, strong Python/Go skills, and hands-on experience with REST APIs, data pipelines, and cloud

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, and GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

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 discovery to 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 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 layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with various teams and act as trusted technical advisor.
• Identify recurring customer requirements and convert them into reusable connectors or product improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

AWS

Azure

GCP

Git-based workflows

CI/CD

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our remote LATAM project on Identity Security / Cybersecurity platforms. You will work closely with enterprise customers, design scalable ingestion solutions, and collaborate across engineering, solution architects, and security teams.

The role requires 10+ years in software/data engineering, strong Python/Go skills, and hands-on experience with REST APIs, data pipelines, and cloud