Senior Data Ingestion Engineer - Remote (GCP/AWS)

EPAM Systems Inc; Municipio de Rincón de los Sauces; Remote; ARS 92,241,000 - 138,361,000; 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 (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will design connectors, ingestion pipelines, and scalable architectures while collaborating with enterprise customers.

You will work across cloud platforms and security-related data sources, delivering reliable data solutions and guiding deployments from discovery to production, with a strong customer-facing emphasis.

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 SQL and NoSQL databases.
• Production experience with major cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong CI/CD practices and Git-based workflows.
• Experience working directly with customers and translating requirements into technical solutions.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, and integration constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Deploy and operate containerized services with Docker and Kubernetes.
• Deliver solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment, infrastructure, and data-layer issues.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

SQL

NoSQL

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM engagement. You will design connectors, ingestion pipelines, and scalable architectures while collaborating with enterprise customers.

You will work across cloud platforms and security-related data sources, delivering reliable data solutions and guiding deployments from discovery to production, with a strong customer-facing emphasis.