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 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 baand organizations achieve measurable growth.Your Role:The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth.
You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust.You'll:Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboardOwn CRM integration — build and maintain reliable CRM data connections (Slate, Salesforce, HubSpot) so lead and enrollment data flows cleanly into the warehouseOwn the data warehouse — route, optimize, and store raw and processed data in Google BigQuery; design efficient schemas for complex, multi-source marketing data (granularity, normalization, slowly changing dimensions); manage partitioning, clustering, and storage strategy to control query cost and performanceOwn transformation & mapping — build SQL schemas that map, blend, and organize multi-channel data accurately for each client, in modular, version-controlled,



documented dbt or Dataform pipelines, with standardized naming conventions and metric definitions across platforms and clientsOwn CI/CD & data segregation — maintain CI/CD pipelines (GitHub Actions, automated testing) for robust, version-controlled releases, and enforce strict data segregation across multi-client environmentsEnable the reporting layer — create clean, performant data views built specifically for fast Looker Studio dashboards and automated Google Sheets reports, and partner with the Data and Analytics Manager and client teams to translate reporting requirements into warehouse modelsDrive data quality — monitor pipeline health, resolve API breaks, minimize latency, implement validation frameworks and automated testing, troubleshoot discrepancies to root cause across source/warehouse/BI layers, and proactively flag data quality risks to leadershipYou Bring:5+ years of hands‐on data engineering experience, ideally in a marketing or agency environmentStrong experience configuring datastreams, transformations, and destinations in Adverity or a comparable ETL platform (Fivetran, Supermetrics, Funnel)Intermediate to advanced SQL, with proven BigQuery experience in transformation, partitioning, and modelingExpertise in dbt or Dataform, managing modular, version-controlled, documented SQL transformation pipelinesPython proficiency for custom API connections and pipeline automationExperience with CRM data flows and integrations (Slate, Salesforce, and/or HubSpot)A deep understanding of marketing metrics (ROAS, CPA, CAC) and paid platform schemas, with a proven track record of structuring data to optimize Looker Studio performanceProficiency with Git and collaborative development workflows, and proven ability to manage multi-client data environments with strict data segregationAn analytical, solution-driven mindset with a growth orientation, and strong communication skills that turn complex data workflows into clear narratives for non-technical audiences — education marketing experience (traditional or online) is especially valuedBonus Points:Experience integrating AI-driven insights or machine learning models into marketing data pipelines to sharpen predictive analytics and data utilityFamiliarity using AI or LLM tools to optimize performance foreca.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 OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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