28 oct
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Community Sports Partners
|
Santa Fe
28 oct
Community Sports Partners
Santa Fe
Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-time143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAMLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEnglish Level: B2 / C1Engagement: Full-timeGet to Know DarwoftAt 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 ProjectWe 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 RoleWe'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 DoingDesign, 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 logistics (scheduling car service, appointments, coordinating with the household manager) so both sides of the CEO's life stay covered
Spot repetitive work and help automate or systematize it rather than just repeating it each time
Step into special projects and research as they come up — using AI tools to investigate and come back with findings and a recommendation, not just questions
Handle confidential information with airtight discretion
You Bring:
Proven experience as an Executive Assistant, or strong related experience paired with sharp tech-savviness — skills and adaptability matter more than years in the EA title specifically
Real travel-planning chops — comfortable with airlines, hotels, points/rewards programs, and complex itineraries
Sharp organizational and time-management skills with genuine attention to detail (time zone accuracy is non-negotiable)
A proactive, adaptable mindset — you spot what's needed, propose a solution, and handle it before it's urgent, rather than just categorizing or flagging it
Comfort using AI tools to research and solve new problems independently
Strong written and verbal communication, with a diplomatic, professional tone for external-facing interactions
Comfort with modern productivity and project management tools (Google Workspace and similar)
What's Offered:
Competitive compensation based on experience and 15 days PTO
Full-time role with US Time overlap
100% remote (LATAM-based candidates)
High-trust partnership with a high-performing founder
Direct impact on executive performance and company operations
Interview Process:
Intro Chat (Atomic HR) – 20-minute conversation on fit and experience
Targeted Assessment – Focused on real EA scenarios, Notion, and AI usage
Final Interview – Conversation with the CEO
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📌 Senior Data Engineer (Snowflake) (Santa Fe)
🏢 Community Sports Partners
📍 Santa Fe