Senior Data Ingestion Engineer - Remote LATAM

Maxit Consulting - Max Corporate Group; Neuquén; Remoto; ARS 154.540.000 - 247.265.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descrizione del lavoro

Darwoft is partnering with a cybersecurity-focused client to hire a Senior Data Engineer (Python/Go) for data ingestion, connectors, and ingestion pipelines in a cloud-first environment. This is a 100% remote, LATAM-friendly opportunity, with senior-level responsibilities and a strong emphasis on enterprise integrations.

You'll design scalable data collectors, work with identity providers, cloud platforms, SIEM, and security telemetry, and collaborate across Solution Architects, Sales

Competenze

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• 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 debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers and stakeholders.
• Ability to translate complex customer requirements into pragmatic technical solutions.

Mansioni

• 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 and data flows.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for high-volume data such as security events and logs.
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployments 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 security integrations.
• Identify recurring customer requirements and translate into reusable connectors.
• Contribute to product roadmap with insights from real-world implementations.
• Support production adoption and time-to-value for enterprise customers.
• Participate in customer-facing technical sessions and onsite engagements.

Descrizione del lavoro

Darwoft is partnering with a cybersecurity-focused client to hire a Senior Data Engineer (Python/Go) for data ingestion, connectors, and ingestion pipelines in a cloud-first environment. This is a 100% remote, LATAM-friendly opportunity, with senior-level responsibilities and a strong emphasis on enterprise integrations.

You'll design scalable data collectors, work with identity providers, cloud platforms, SIEM, and security telemetry, and collaborate across Solution Architects, Sales