Senior Data Engineer: Ingestion & Integrations, Remote LATAM

Outlier; La Pampa; Remote; ARS 185,357,000 - 247,142,000; Full time

Benefits offered by this job

Contractor agreement with payment in

100% remote work

Argentine public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer to design and operate data ingestion connectors for an Identity Security platform. You will work directly with customers to understand data sources, security requirements, and integration constraints, building reliable pipelines and scalable ingestion services using Python/Go in cloud environments.

Remote LATAM collaboration and a strong emphasis on security and performance are expected.

Qualifications

• 10+ years in software/data engineering or related fields.
• Proficient in Python and Go for backend and data pipelines.
• Experience building data ingestion pipelines and connectors.
• Experience with cloud platforms and containerized services.
• Customer-facing collaboration and solution design capabilities.

Responsibilities

• Design and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, and security systems.
• Work directly with customers to map environments, data flows, APIs and constraints.
• Build scalable ingestion architectures for security events and logs.
• Develop backend services using Python and/or Go; work with SQL/NoSQL databases.
• Operate Docker and Kubernetes-based deployments across AWS/Azure/GCP.
• Troubleshoot complex deployments and drive time-to-value for clients.

Skills

Python

Go

REST APIs

Data ingestion

Cloud

Docker

Kubernetes

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft seeks a Senior Data Engineer to design and operate data ingestion connectors for an Identity Security platform. You will work directly with customers to understand data sources, security requirements, and integration constraints, building reliable pipelines and scalable ingestion services using Python/Go in cloud environments.

Remote LATAM collaboration and a strong emphasis on security and performance are expected.