Remote Senior Data Engineer - Ingestion & Integrations

JPMorgan Chase & Co.; La Pampa; Remote; ARS 136.310.000 - 196.892.000; Vollzeit

Benefits dieser Stelle

Contractor agreement with payment in "

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Zusammenfassung

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for a 100% remote LATAM role. You will work as a technical bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors.

You will leverage Python and/or Go, work with SQL and NoSQL, and deploy services across AWS, Azure, and GCP in a customer-facing capacity while ensuring reliability and security.

Qualifikationen

• 10+ years of professional software/data/platform engineering or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines and integration platforms.
• Production cloud experience (AWS/Azure/GCP).

Aufgaben

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, security tools, and SIEMs.
• Collaborate with customers to understand environments and data flows for integration.
• Build scalable ingestion architectures for high-volume data sources.
• Deploy and operate containerized services with Docker and Kubernetes.

Kenntnisse

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

CI/CD

Git

Ausbildung

Bachelor's degree or higher in a relevant field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Jobbeschreibung

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for a 100% remote LATAM role. You will work as a technical bridge between enterprise customers and engineering, designing scalable ingestion pipelines and connectors.

You will leverage Python and/or Go, work with SQL and NoSQL, and deploy services across AWS, Azure, and GCP in a customer-facing capacity while ensuring reliability and security.