Remote Senior Cybersecurity Data Ingestion Engineer (Santa Fe)

Remote Senior Cybersecurity Data Ingestion Engineer (Santa Fe)

28 oct
|
Darwoft
|
Santa Fe

28 oct

Darwoft

Santa Fe

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 enginecting investment and partnerships toward the capabilities that will differentiate the pipeline;
Lead the adoption strategy that institutionalizes proven innovation, governing the standards, workflows, training, and change management required to embed new practices across crops and regions at scale;
Own the impact narrative and its metrics by defining how acceleration value is measured and reported on cycle time, genetic gain, cost, quality, and adoption, and using that evidence to steer investment, leadership decisions, and the Long-Range Plan;
Provide technical, strategic, and product knowledge to the Capability Center,



strategically contributing to key integral Precision Breeding, Breeding, and R&D; focus areas;
Lead and contribute to Global Breeding strategies and the Long-Range Plan (LRP), ensuring alignment with high-level functional and commercial goals;
Engage strategically with key universities to coach and guide future talent development, ensuring Bayer is viewed as a strategic talent destination of choice;
Serve as a member of various L3 leadership units across commercial and product supply teams, helping connect research acceleration with downstream product and supply decisions;
Ensure a strong focus on HS&E;, Compliance, DEI, Business Conduct, and Human Rights across the Capability Hub, fostering a culture that emphasizes ethical practices, safety, inclusion, and responsibility.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
PhD degree or MS degree in Plant or Animal Breeding, Quantitative or Statistical Genetics, Data Science, or a related field
Strong knowledge of advanced breeding technologies, advanced analytics and information technologies, genomics, and/or quantitative genetics, with a proven track record of driving innovation into applied pipelines;
Strong ability to collaborate and build cross-functional partnerships to solve complex business and technical problems across regions and functions;
Demonstrated ability to embrace and role-model VACC leadership attributes, aligned with Bayer's Values, Ambition, Collaboration, and Creativity expectations, within the Capability Center and with peers and colleagues across Bayer Crop Science.
Preferred Qualifications:
5+ years of technology leadership experience, or MS degree with 8+ years of technology leadership experience;
Experience leading research acceleration, precision breeding, or early pipeline innovation initiatives in a global R&D; environment;
Experience working within large, matrixed organizations and contributing to cross-functional strategies that span R&D;, product design, and commercial teams;
Proven ability to influence senior stakeholders and drive adoption of new ways of working across diverse teams and geographies;
Strong communication skills with the ability to translate complex scientific and strategic concepts into clear, decision-ready insights for leadership and partners.
Listed below are aspects of the application process which may be present to maintain job posting compliance in the multiple countries which this position is posted.
United States
In the US,



employees can expect to be paid a salary between ($ to $ ).
This range reflects the national US market rate ("salary range") for base pay for the relevant role.
Additional compensation may include a bonus or incentive compensation (if relevant).
Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.
This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
Germany
All applicants who apply to a posting which can be located in Germany are given the option to disclose if they have a severe disability as certified by German authorities.
This is a voluntary question, and applicants are given the option to answer as not applicable if they prefer not to disclose.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to y valuable:
AWS
Microsoft Azure
Google Cloud
Microsoft Entra ID / Active Directory
Okta
Google Workspace
Duo
CrowdStrike
Zscaler
Palo Alto
Microsoft Defender
SIEM and security analytics platforms
Direct experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.
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.
What Success Looks Like
Success in this role will be measured by your ability to:
Deliver successful enterprise integrations and deployments.
Reduce customer time-to-production.
Build reliable and scalable ingestion solutions.
Improve customer adoption and technical satisfaction.
Resolve complex integration challenges efficiently.
Turn customer-specific requirements into reusable platform capabilities.
Contribute improvements that strengthen the scalability and flexibility of the core product.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
Ingeniero Civil Senior (Field Manager) - San Juan/Argentina
#J-*****-Ljbffr

📌 Remote Senior Cybersecurity Data Ingestion Engineer (Santa Fe)
🏢 Darwoft
📍 Santa Fe

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