Senior Data Engineer: Ingest & Integrations (Remote LATAM)

Lever, Inc.; Neuquén; Remote; ARS 185,448,000 - 278,173,000; 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 is seeking a Senior Data Engineer focused on data ingestion and integrations for a next-generation cybersecurity platform. You will design connectors and ingestion pipelines, working closely with customers to translate requirements into scalable solutions.

You will use Python and Go to build backend services, deploy on AWS/Azure/GCP, and collaborate with cross-functional teams to deliver reliable data integrations in a remote LATAM setup.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Proficient in REST APIs and data ingestion pipelines.

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 from discovery to 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 engineering practices.
• Develop backend services 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 deployment and integration issues across application, infrastructure, networking, 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

Data pipelines

Distributed systems

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations for a next-generation cybersecurity platform. You will design connectors and ingestion pipelines, working closely with customers to translate requirements into scalable solutions.

You will use Python and Go to build backend services, deploy on AWS/Azure/GCP, and collaborate with cross-functional teams to deliver reliable data integrations in a remote LATAM setup.