Senior Data Engineer: Ingest & Integrations (Remote LATAM)

Unavailable; Municipio de Rincón de los Sauces; Remote; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Contractor agreement with payment in "

100% remote work

Argentina's public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is hiring a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors. You will serve as a technical bridge with enterprise customers, designing scalable ingest mechanisms and connectors across AWS, Azure, and GCP. The role blends data engineering, software engineering, and customer consulting.

You will own pipelines from source systems to dashboards, collaborate with sales and CS, and help drive data quality, reliability, and time-to-value for clients.

Qualifications

• 10+ years of professional software/data engineering experience.
• Strong experience with Python and Go for backend and data pipelines.
• Solid SQL skills and experience with data warehousing.
• Ability to interact with customers and translate requirements into scalable solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including cloud platforms and security systems.
• Work directly with customers to understand environments, data flows, APIs, and integration constraints.
• Design scalable ingestion architectures for processing high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.

Skills

Python

Go

SQL

Customer-facing communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

Terraform

Git

dbt/Dataform

Job description

Darwoft is hiring a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors. You will serve as a technical bridge with enterprise customers, designing scalable ingest mechanisms and connectors across AWS, Azure, and GCP. The role blends data engineering, software engineering, and customer consulting.

You will own pipelines from source systems to dashboards, collaborate with sales and CS, and help drive data quality, reliability, and time-to-value for clients.