Remote Senior Data Ingestion Engineer: Connectors

1302 Argentina Delivery Center Company; Santa Fe Capital; Remote; ARS 185,448,000 - 278,173,000; 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 is seeking a Senior Data Engineer focused on data ingestion to bridge enterprise customers and engineering, designing scalable connectors and ingestion pipelines. You will work with Python and Go, REST APIs, AWS/Azure/GCP, Docker and Kubernetes, collaborating across teams to deliver reliable data integrations for identity security platforms.

This remote LATAM role emphasizes hands-on implementation, customer collaboration, and driving time-to-value.

Qualifications

• 10+ years of professional software, data, or platform engineering experience.
• Strong software development with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and connector frameworks.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong CI/CD practices.

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 with customers to understand environments, data flows, and integration constraints.
• Participate in onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud services, event-driven architectures, and modern software practices.
• Develop backend services with Python and/or Go.
• Work with SQL and NoSQL databases for data storage and analysis.
• Operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

CI/CD

Cloud platforms (AWS/Azure/GCP)

SQL

NoSQL

Tools

Python

Go

PostgreSQL

MongoDB

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion to bridge enterprise customers and engineering, designing scalable connectors and ingestion pipelines. You will work with Python and Go, REST APIs, AWS/Azure/GCP, Docker and Kubernetes, collaborating across teams to deliver reliable data integrations for identity security platforms.

This remote LATAM role emphasizes hands-on implementation, customer collaboration, and driving time-to-value.