Senior Cloud Data Ingestion Engineer — Remote LATAM

EPAM Systems Inc; Ciudad de Mendoza; Remote; ARS 127,737,000 - 255,474,000; Full time

Benefits offered by this job

Contractor in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft invites a Senior Data Engineer to join a remote LATAM project focused on Identity Security and cybersecurity data ingestion. You will work directly with customers to design scalable connectors, ingestion pipelines, and cloud integrations using Python/Go and modern data architectures.

You will collaborate across teams to ensure reliability, security, and fast time-to-production, while building reusable solutions for enterprise environments.

Qualifications

• 10+ years of professional software engineering or data engineering experience.
• Strong Python and Go development skills.
• Experience building data ingestion pipelines and connectors.
• Proven track record with REST APIs and cloud deployments.
• Experience with SQL and NoSQL databases.
• Docker and Kubernetes experience.
• CI/CD practices and Git workflows.
• Customer-facing collaboration and ability to translate requirements to technical solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, and security constraints.
• Build scalable ingestion architectures for high-volume data such as security events and logs.
• Work with Python and/or Go to develop backend services.

Skills

Python

Go

REST APIs

Data ingestion

Cloud

Docker

Kubernetes

SQL

NoSQL

CI/CD

Tools

AWS

Azure

GCP

Job description

Darwoft invites a Senior Data Engineer to join a remote LATAM project focused on Identity Security and cybersecurity data ingestion. You will work directly with customers to design scalable connectors, ingestion pipelines, and cloud integrations using Python/Go and modern data architectures.

You will collaborate across teams to ensure reliability, security, and fast time-to-production, while building reusable solutions for enterprise environments.