Senior Data Ingestion Engineer - Remote LATAM

Sophilabs, Inc.; Santa Fe Capital; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor USD payment

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next‑gen Identity Security platform. You’ll work directly with customers to design scalable ingestion pipelines, build connectors, and implement reliable data flows across cloud environments.

The role blends data engineering, software engineering, and technical consulting in a remote LATAM setting. You’ll develop backend services in Python and Go, integrate diverse sources, and ensure secure,

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Proficient in Python and Go for backend services.
• Strong experience with REST APIs and data ingestion pipelines.
• Hands-on with Docker and Kubernetes in production.
• Experience with SQL and NoSQL databases.
• Cloud experience on AWS, Azure, or GCP.
• CI/CD practices and Git-based workflows.
• Ability to translate customer requirements into practical data integrations.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources (IdPs, cloud platforms, SIEMs, endpoints, apps).
• Work with customers to understand environments, data flows, and integration constraints.
• Build scalable ingestion architectures for high-volume security data.
• Develop backend services using Python and/or Go; use SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across AWS/Azure/GCP.

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next‑gen Identity Security platform. You’ll work directly with customers to design scalable ingestion pipelines, build connectors, and implement reliable data flows across cloud environments.

The role blends data engineering, software engineering, and technical consulting in a remote LATAM setting. You’ll develop backend services in Python and Go, integrate diverse sources, and ensure secure,