Senior Data Ingestion Engineer — Remote LATAM

Fudo; Municipio de Rincón de los Sauces; Remote; ARS 185,750,000 - 278,625,000; Full time

Benefits offered by this job

Contractor agreement USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for an Identity Security platform. You will collaborate with customers to design scalable ingestion pipelines and integrate diverse data sources across cloud and on-prem environments.

You'll work in a senior, customer-facing role, building reliable data bridges and participating in architecture discussions to shorten time-to-value for enterprise deployments.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go programming skills.
• Experience designing REST APIs and data ingestion pipelines.
• Experience with SQL and NoSQL databases.
• Hands-on with Docker and Kubernetes in cloud environments.

Responsibilities

• Design, develop, and maintain data collectors and ingestion services.
• Integrate enterprise data sources including identity providers and cloud platforms.
• Work with customers to understand environments and integration constraints.
• Build scalable ingestion architectures for high-volume data like security events and logs.
• Develop backend services primarily using Python and/or Go; work with SQL/NoSQL databases.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

Customer-facing

Tools

Docker

Kubernetes

AWS

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for an Identity Security platform. You will collaborate with customers to design scalable ingestion pipelines and integrate diverse data sources across cloud and on-prem environments.

You'll work in a senior, customer-facing role, building reliable data bridges and participating in architecture discussions to shorten time-to-value for enterprise deployments.