Senior Data Ingestion Engineer – Cloud & APIs (Remote)

AgileEngine, LLC.; La Pampa; Remote; ARS 136,310,000 - 181,747,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina's public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer to lead data ingestion and integration efforts for our Identity Security platform. You will design scalable collectors and pipelines, ingest data from enterprise sources, and work closely with customers to translate their data needs into robust solutions.

Role involves Python/Go development, cloud deployments (AWS/Azure/GCP), and a strong focus on reliability, security, and performance in a 100% remote LATAM setup.

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, 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 for customer-facing discussions.
• 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, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Participate in technical onboarding processes 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, 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 environments.
• Troubleshoot complex customer deployment and integration issues across multiple layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion

Connector frameworks

Integration platforms

SQL

NoSQL databases

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer to lead data ingestion and integration efforts for our Identity Security platform. You will design scalable collectors and pipelines, ingest data from enterprise sources, and work closely with customers to translate their data needs into robust solutions.

Role involves Python/Go development, cloud deployments (AWS/Azure/GCP), and a strong focus on reliability, security, and performance in a 100% remote LATAM setup.