BigQuery
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.
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.
What You'll Be Doing
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 their environments, data flows, APIs, security requirements, and integration constraints.
Participate in technical onboarding processes, from initial discovery and architecture design through 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
.
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
Optimize ingestion performance, reliability, scalability, and operational efficiency.
Collaborate with Solution Architects, Sales Engineering,



Customer Success, Product, and Engineering teams.
Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
Contribute technical insights from real-world implementations to the product roadmap.
Support production adoption and continuously improve time-to-value for enterprise customers.
Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.
What You Bring
10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
Strong software development experience with:
Python
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 both
SQL and NoSQL databases
.
Production experience with at least one major cloud platform:
AWS
Azure
GCP
Experience working with
Docker and Kubernetes
.
Strong understanding of Git-based development workflows and
CI/CD practices
.
Experience designing reliable, scalable, and production-ready distributed systems.
Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
Experience working directly with customers, stakeholders, or technical partners.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
Highly Relevant Experience
Experience with any of the following will be especially valuable:
Identity and Access Management (
IAM
)
Identity Providers (
IdPs
)
Identity Security
Cybersecurity platforms
SIEM systems
Security telemetry
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📌 Senior Data Engineer — Aws Etl & Dsp Ingestion (Santiago del Estero)
🏢 AgileEngine
📍 Santiago del Estero