Sr. Data Ingestion Engineer — Remote LATAM Cloud & Security

Epam Systems Inc; Tandil; Remote; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Contractor agreement with payment in $

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, integrations, and connectors to join our 100% remote LATAM project. You will collaborate with enterprise customers to design scalable ingestion pipelines, integrate with identity/security platforms, and implement end-to-end data flows using Python and Go in cloud environments.

You will work cross-functionally with solution architects, sales engineering, and customer success to deliver reliable, scalable data solutions and

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go programming experience.
• 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 with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, production-ready distributed systems.

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 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 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.

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to join our 100% remote LATAM project. You will collaborate with enterprise customers to design scalable ingestion pipelines, integrate with identity/security platforms, and implement end-to-end data flows using Python and Go in cloud environments.

You will work cross-functionally with solution architects, sales engineering, and customer success to deliver reliable, scalable data solutions and