Senior Data Engineer: Ingestion & Integrations (Remote)

Altura; Municipio de Rincón de los Sauces; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion and connectors for an Identity Security platform. You will collaborate with customers to design scalable ingestion pipelines, integrate diverse data sources, and ensure reliable deployments in a 100% remote LATAM environment.

The role requires strong experience with data engineering, cloud infrastructure, and API-driven architectures, and involves direct customer collaboration and hands-on implementation.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.

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 processes from discovery to production deployment.
• Design scalable ingestion architectures for security events, logs, and high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion

Tools

Docker

Kubernetes

SQL

NoSQL

Cloud (AWS/Azure/GCP)

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion and connectors for an Identity Security platform. You will collaborate with customers to design scalable ingestion pipelines, integrate diverse data sources, and ensure reliable deployments in a 100% remote LATAM environment.

The role requires strong experience with data engineering, cloud infrastructure, and API-driven architectures, and involves direct customer collaboration and hands-on implementation.