Data Engineer (Exp. En Banca)
- Compensation
- Not disclosed
- Location
- Santa Fe, Argentina
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Experience with large-scale data processing or streaming platforms.
- Experience designing reusable connector SDKs or integration frameworks .
- Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.
- Experience with security events, audit logs, network telemetry, or cloud activity data.
- Familiarity with event-driven and distributed system architectures.
- Experience deploying AI/ML-enabled applications.
- Exposure to LLMs, AI agents, or AI-powered security applications .
- Solution Architecture or Forward Deployed Engineering experience.
- Previous experience in cybersecurity startups or high-growth SaaS environments.
Full description
- Location: LATAM
- Work Model: 100% Remote
- Project: Identity Security / Cybersecurity Platform
- Seniority: Senior
- Engagement: Full-time
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.