Senior Data Ingestion Engineer - Remote LATAM

EPAM Systems Inc; Ciudad de Mendoza; Remote; ARS 153,735,000 - 230,602,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Argentina 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 Collectors. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines and connectors across cloud environments while ensuring reliability, security, and fast time-to-production.

You will collaborate with architects, sales engineering, customer success, product, and engineering teams, delivering value in complex cybersecurity data ecosystems.

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 both SQL and NoSQL databases.
• Production experience with major cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Ability to translate complex customer requirements into pragmatic technical solutions.

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 from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and CI/CD practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze 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.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

CI/CD

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

REST APIs

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines and connectors across cloud environments while ensuring reliability, security, and fast time-to-production.

You will collaborate with architects, sales engineering, customer success, product, and engineering teams, delivering value in complex cybersecurity data ecosystems.