Remote Senior Data Engineer: Ingestion & Integrations

BairesDev; La Pampa; Hybrid; ARS 185,357,000 - 278,035,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, connectors, and integrations to serve enterprise customers on a 100% remote basis in LATAM. You will design scalable ingestion pipelines, work with identity providers and cloud platforms, and collaborate with global teams to deliver reliable data solutions for security and observability.

The role requires deep experience in Python/Go, REST APIs, and distributed systems, plus hands-on work with Docker, Kubernetes, and cloud providers

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 at least one major cloud platform: AWS, Azure, GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
• High degree of autonomy and ownership when solving ambiguous technical problems.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and security requirements.
• Participate in technical onboarding processes from discovery through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• 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, transform, query, and analyze data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Advise on data architecture, collection strategies, security integrations, and best practices.
• Identify recurring customer requirements and transform them into reusable connectors and platform capabilities.
• Contribute to product roadmap with real-world insights.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, connectors, and integrations to serve enterprise customers on a 100% remote basis in LATAM. You will design scalable ingestion pipelines, work with identity providers and cloud platforms, and collaborate with global teams to deliver reliable data solutions for security and observability.

The role requires deep experience in Python/Go, REST APIs, and distributed systems, plus hands-on work with Docker, Kubernetes, and cloud providers