Senior Data Ingestion Engineer — Remote (LATAM)

Lateralgroup; Ciudad de Mendoza; Remote; ARS 169,108,000 - 245,976,000; Full time

Benefits offered by this job

Contractor USD payments

100% remote work

Public holidays in Argentina

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer to focus on data ingestion, integrations, and connectors for our Identity Security platform. You will work closely with customers to understand architectures, data sources, and security requirements, translating them into scalable ingestion solutions.

You will develop backend services in Python/Go, build data pipelines, and deploy on cloud environments (AWS/Azure/GCP) using Docker and Kubernetes, while ensuring reliability and fast time-to-production.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• 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 AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong CI/CD practices and Git workflows.
• Ability to translate 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 onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

Docker

Kubernetes

CI/CD

SQL

NoSQL

Cloud (AWS, Azure, GCP)

Tools

Databases

Container runtimes

Cloud platforms

Job description

Darwoft is seeking a Senior Data Engineer to focus on data ingestion, integrations, and connectors for our Identity Security platform. You will work closely with customers to understand architectures, data sources, and security requirements, translating them into scalable ingestion solutions.

You will develop backend services in Python/Go, build data pipelines, and deploy on cloud environments (AWS/Azure/GCP) using Docker and Kubernetes, while ensuring reliability and fast time-to-production.