Senior Data Engineer: Ingestion & Integrations (Remote)

Unavailable; Municipio de Juan José Castelli; Remote; ARS 139,018,000 - 200,803,000; Full time

Benefits offered by this job

USD payment

100% remote

Public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM role. You will partner with customers to design scalable ingestion pipelines,₂ identify data sources, and implement reliable connectors across cloud ecosystems.

You will work across security, identity, and cloud environments, building production-grade services and guiding deployments with a strong emphasis on reliability and time-to-value for enterprise clients.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong CI/CD practices and Git-based workflows.
• Ability to translate complex customer requirements into pragmatic technical solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and constraints.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployments across app, infra, network, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture, collection strategies, and security integrations.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM role. You will partner with customers to design scalable ingestion pipelines,₂ identify data sources, and implement reliable connectors across cloud ecosystems.

You will work across security, identity, and cloud environments, building production-grade services and guiding deployments with a strong emphasis on reliability and time-to-value for enterprise clients.