Senior Data Engineer - Data Ingestion & Cloud Pipelines

Improving South America; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Remote work 100%

USD contractor payment

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will be a key technical bridge between enterprise customers and the engineering organization, designing scalable ingestion pipelines and connectors across AWS, Azure, and GCP.

You will own data sources, CRM/integration connectors, and the data warehouse, ensuring high performance, security, and reliability while collaborating with cross‑functional teams and customers.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• 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 cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong CI/CD and Git-based development workflows.
• Ability to translate customer requirements into pragmatic technical solutions.
• Excellent communication for customer-facing conversations.

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, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery through deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity data.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and best practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployment and integration issues across 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 and integration best practices.
• Identify recurring customer requirements and translate into reusable connectors and platform capabilities.
• Contribute insights to product roadmap and support time-to-value for customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Git

REST APIs

CI/CD

Data Ingestion

Data Pipelines

BigQuery

Data Modeling

Data Warehousing

Tools

Docker

Kubernetes

Terraform

GitHub

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will be a key technical bridge between enterprise customers and the engineering organization, designing scalable ingestion pipelines and connectors across AWS, Azure, and GCP.

You will own data sources, CRM/integration connectors, and the data warehouse, ensuring high performance, security, and reliability while collaborating with cross‑functional teams and customers.