Senior Data Ingestion Engineer — Remote LATAM

Outlier; Ciudad de Mendoza; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor in USD

100% remote

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, Integrations, and Collectors to serve as a technical bridge between enterprise customers and the engineering team. This role is remote across LATAM and requires deep expertise in data pipelines, APIs, and cloud-native services.

You will design and evolve connectors, ingestion pipelines, and scalable architectures using Python and Go, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP), while working closely with customers

Qualifications

• 10+ years in software/data/platform engineering or related fields.
• Strong Python and Go experience.
• Experience with REST APIs and data ingestion pipelines.
• Hands-on with cloud deployments (AWS/Azure/GCP) and container orchestration.
• Customer-facing collaboration and technical advisory skills.

Responsibilities

• Design 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 deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL/NoSQL

Customer-facing

CI/CD

Tools

Airflow

Kafka

Linux

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to serve as a technical bridge between enterprise customers and the engineering team. This role is remote across LATAM and requires deep expertise in data pipelines, APIs, and cloud-native services.

You will design and evolve connectors, ingestion pipelines, and scalable architectures using Python and Go, Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP), while working closely with customers