Senior Data Ingestion Engineer - Remote LATAM

EPAM Systems Inc; Ciudad de Mendoza; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Remote work

Payment in USD

English classes

Learning platforms

Referral program

Public holidays

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a next-generation Identity Security platform. You will work directly with customers to understand data sources, security requirements, and workflows, then design scalable ingestion pipelines to feed our platform.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure, and high-volume data integrations across cloud

Qualifications

• 10+ years of engineering experience in software/data roles.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and connectors.
• Experience with cloud platforms (AWS/Azure/GCP).
• Strong understanding of REST APIs and data formats.

Responsibilities

• Design and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources such as identity providers, cloud platforms, and security tools.
• Collaborate with customers to understand environments and data flows.
• Develop scalable ingestion architectures for high-volume data.
• Build integrations using REST APIs, cloud-native services, and event-driven patterns.
• Operate containerized services with Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployments and optimize performance.

Skills

Python

Go

Data ingestion

REST APIs

SQL/NoSQL

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

CI/CD

Customer-facing

Tools

Docker

Kubernetes

AWS/Azure/GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a next-generation Identity Security platform. You will work directly with customers to understand data sources, security requirements, and workflows, then design scalable ingestion pipelines to feed our platform.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure, and high-volume data integrations across cloud