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 profesblend, 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 Bring5+ 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 PointsExperience 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 forecasting, automated audience segmentation, or marketing workflowsExperience connecting, managing, and maintaining APIs for generative AI platforms within a marketing data architectureExperience using AI/ML‐driven anomaly detection to monitor pipelines and proactively flag data quality issuesWhat's OfferedRemote role with the flexibility that comes with a distributed, async‐friendly teamCompetitive compensation based on experience and locationA pivotal, high‐visibility seat on a scaling Data & Analytics team, with real ownership over the agency's reporting infrastructureThe chance to build the data backbone for an agency whose partners are education and nonprofit organizations working to build a better worldA culture built around finding a better way, playing as a team of A‐players, and treating results as the engine rather than the goalDirect impact: the pipelines and models you build directly shape how partners see (and trust) their own performance dataInterview ProcessApplication Review (resume + a few questions)Screening Call with Atomic HRHiring Team Interview (walkthrough of a pipeline or data model you've built)Technical Assessment (a real‐world data engineering case study)Final Interview with company leadershipLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full‐timeSenior 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 witare Engineering, Data Engineering, Platform Engineering, or related experience.Strong software development experience with:PythonGoStrong 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:AWSAzureGCPExperience 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 ExperienceExperience with any of the following will be especially valuable:Identity and Access Management (IAM )Identity Providers (IdPs )Identity SecurityCybersecurity platformsSIEM systemsSecurity telemetryNetwork securityEndpoint securitySASE / Zero Trust environmentsCloud securityLarge-scale event processingStreaming architecturesIntegration ExperiencePrevious experience integrating APIs or data from platforms such as the following is highly valuable:AWSMicrosoft AzureGoogle CloudMicrosoft Entra ID / Active DirectoryOktaGoogle WorkspaceDuoCrowdStrikeZscalerPalo AltoMicrosoft DefenderSIEM and security analytics platformsDirect 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 HaveExperience 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 LikeSuccess 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 OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platformsExplore this and other opportunities at:
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