Senior Data Ingestion Engineer - Remote (Cloud & API)

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 84,997,000 - 139,086,000; Full time

Benefits offered by this job

Contractor in USD

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, connectors, and cloud integration to join our Identity Security project in a fully remote LATAM setting. You will design and implement scalable ingestion pipelines, collaborate with customers to map data sources and security requirements, and build reliable connectors across AWS, Azure, and GCP using Docker and Kubernetes.

The role balances hands-on engineering with solution architecture and client-facing

Qualifications

• 10+ years of software/data engineering or related experience.
• Proficient in Python and Go.
• Experience designing REST APIs and data ingestion pipelines.
• Strong knowledge of SQL and NoSQL databases.
• Hands-on experience with Docker and Kubernetes.
• Experience deploying on AWS, Azure, or GCP.
• Ability to translate customer requirements into technical solutions.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources and security platforms.
• Collaborate with customers to understand environments and constraints.
• Build scalable ingestion architectures for high-volume data.
• Work with cloud services and modern software engineering practices.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, connectors, and cloud integration to join our Identity Security project in a fully remote LATAM setting. You will design and implement scalable ingestion pipelines, collaborate with customers to map data sources and security requirements, and build reliable connectors across AWS, Azure, and GCP using Docker and Kubernetes.

The role balances hands-on engineering with solution architecture and client-facing