Senior Data Engineer: Ingestion & Connectors (Remote LATAM)

LatamCent; Tandil; A distancia; ARS 139.312.000 - 232.187.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor pay in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You will design and implement scalable ingestion pipelines, connectors, and services using Python and Go, collaborating with customers and engineering.

This role blends data engineering with advisory work, cloud tooling, and security-focused data flows across enterprise environments.

Formación

• 10+ years in Software/Data/Platform engineering or related roles.
• Proficient in Python and Go with backend/data experience.
• Experience building data ingestion pipelines and integrations.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments, data flows, and APIs.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and modern engineering practices.
• Develop backend services using Python and/or Go; work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across AWS, Azure, GCP.
• Troubleshoot complex deployments; optimize ingestion performance and reliability.
• Work with cross-functional teams and act as trusted technical advisor.

Conocimientos

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL/NoSQL

CI/CD

Customer-facing

AWS

Azure

GCP

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You will design and implement scalable ingestion pipelines, connectors, and services using Python and Go, collaborating with customers and engineering.

This role blends data engineering with advisory work, cloud tooling, and security-focused data flows across enterprise environments.