Senior Data Ingestion Engineer - Remote Cloud Integrations

Epam Systems Inc; Neuquén; Remote; ARS 185,448,000 - 278,173,000; 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 collectors to bridge customer environments with our cybersecurity platform. You will design scalable pipelines and connectors across cloud and on-prem environments, working directly with customers and engineering teams.

You will build production-grade ingestion services in Python and/or Go, leverage Docker/Kubernetes, and deploy across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Proven track record building data ingestion pipelines and integration platforms.
• Experience with cloud services (AWS, Azure, GCP).
• Experience with Docker and Kubernetes in production.
• Experience with SQL and NoSQL databases.
• Strong customer-facing communication and problem-solving skills.

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 and architecture design to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, 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 deployments across application, infrastructure, networking, API, and data layers.

Skills

Python

Go

REST APIs

Data ingestion pipelines

CI/CD

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customer environments with our cybersecurity platform. You will design scalable pipelines and connectors across cloud and on-prem environments, working directly with customers and engineering teams.

You will build production-grade ingestion services in Python and/or Go, leverage Docker/Kubernetes, and deploy across AWS, Azure, and GCP.