Senior Data Engineer – Ingestion & Cloud Integrations (Remote)

Lever, Inc.; Tandil; Remote; ARS 154,540,000 - 231,811,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Public holidays in Argentina

English classes

Referral program

Learning platforms access

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion and cloud integrations for the Identity Security project. You will design connectors, ingestion pipelines, and scalable services handling high-volume events and logs across cloud environments.

You’ll work directly with customers to understand data sources, security requirements, and topology, delivering reliable, scalable solutions using Python, Go, Docker, and Kubernetes in a remote LATAM setting.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go experience.
• Hands-on data ingestion pipelines or integration platforms.
• Cloud experience with AWS, Azure, or GCP.

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, 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 network telemetry.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Customer-facing

Tools

Docker

Kubernetes

SQL

NoSQL

CI/CD

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion and cloud integrations for the Identity Security project. You will design connectors, ingestion pipelines, and scalable services handling high-volume events and logs across cloud environments.

You’ll work directly with customers to understand data sources, security requirements, and topology, delivering reliable, scalable solutions using Python, Go, Docker, and Kubernetes in a remote LATAM setting.