143L - Data Engineer (Python/Go/Data Ingestion/Cloud) · Senior · Remote · LATAM
This senior data engineer role involves building and maintaining scalable data ingestion pipelines and connectors for a cybersecurity identity platform. The position requires working directly with enterprise customers to integrate diverse data sources using Python, Go, and cloud-native technologies.
- Compensation
- Not disclosed
- Location
- Cordoba, Argentina
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 10+ years of professional software or data engineering experience
- Strong software development experience with Python and Go
- Experience designing and consuming REST APIs
- Experience building data ingestion pipelines or connector frameworks
- Solid understanding of SQL and NoSQL databases
- Production experience with AWS, Azure, or GCP
- Experience with Docker and Kubernetes
- Experience with Git-based workflows and CI/CD
- Experience working directly with customers or stakeholders
- B2/C1 English proficiency
Full description
143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM
- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- English Level: B2 / C1
- Engagement: Full-time
Get to Know Darwoft
At Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.
We are a Latin American technology company with a people-first culture, strong professional standards, and a long-term partnership mindset. We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.
About the Project
We are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform.
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments.
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals. This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.
The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.
About the Role
We're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.
This is not a traditional backend or internal data engineering position.
You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.
You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting.
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.