Senior Data Ingestion Architect - Remote (LATAM)

EPAM Systems Inc; Neuquén; Remote; ARS 185,448,000 - 231,811,000; 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 in LATAM is seeking a Senior Data Engineer to design and build scalable data ingestion connectors for an Identity Security platform. You will work directly with enterprise customers to understand data sources, security requirements, and integration constraints in a 100% remote setup.

You'll develop backend services in Python and Go, run on cloud infrastructure (AWS/Azure/GCP), and ensure reliable, secure data pipelines.

Qualifications

• 10+ years of professional Software Engineering or Data Engineering experience.
• Experience designing and building data ingestion pipelines and connector frameworks.
• Ability to interact with customers and translate requirements into 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, identity activity, and high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

Customer-facing communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft in LATAM is seeking a Senior Data Engineer to design and build scalable data ingestion connectors for an Identity Security platform. You will work directly with enterprise customers to understand data sources, security requirements, and integration constraints in a 100% remote setup.

You'll develop backend services in Python and Go, run on cloud infrastructure (AWS/Azure/GCP), and ensure reliable, secure data pipelines.