{"id":1741720,"url":"https://alion.io/job/darwoft-143l-data-engineer-pythongodata-ingestioncloud-senior-remote-latam","title":"143L - Data Engineer (Python/Go/Data Ingestion/Cloud) · Senior · Remote · LATAM","company":{"id":61145,"name":"Darwoft","domain":"darwoft.com","url":"https://alion.io/company/darwoft","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Córdoba, Argentina"],"countries":["AR"],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":null,"salary_estimate":{"min_usd":41000,"max_usd":108000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Crowdstrike","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"Google Workspace","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Microsoft Defender","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Okta","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SIEM","optional":false},{"name":"SQL","optional":false},{"name":"Zero Trust","optional":false},{"name":"Zscaler","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-03T03:36:49Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-11-03T19:01:16Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM\nLocation: LATAM\nWork Model: 100% Remote\nProject: Identity Security / Cybersecurity Platform\nSeniority: Senior\nEnglish Level: B2 / C1\nEngagement: Full-time\nGet to Know Darwoft\nAt Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.\nWe 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.\nAbout the Project\nWe are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform.\nThe 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.\nAt 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.\nThe platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.\nAbout the Role\nWe'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.\nThis is not a traditional backend or internal data engineering position.\nYou'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.\nYou'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting.\nA 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.\nWhat You'll Be Doing\nDesign, develop, and maintain production-grade data collectors, connectors, and ingestion services.\nIntegrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.\nWork directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.\nParticipate in technical onboarding processes, from initial discovery and architecture design through production deployment.\nDesign scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.\nBuild integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.\nDevelop backend services primarily using Python and/or Go.\nWork with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.\nBuild and operate containerized services using Docker and Kubernetes.\nDeploy and integrate solutions across AWS, Azure, and GCP environments.\nTroubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.\nOptimize ingestion performance, reliability, scalability, and operational efficiency.\nCollaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.\nAct as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.\nIdentify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.\nContribute technical insights from real-world implementations to the product roadmap.\nSupport production adoption and continuously improve time-to-value for enterprise customers.\nParticipate in occasional customer-facing technical sessions and, when necessary, onsite engagements.\nWhat You Bring\n10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.\nStrong software development experience with:Python\nGo\n\nStrong experience designing and consuming REST APIs.\nHands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.\nExperience integrating complex enterprise systems and third-party platforms.\nSolid understanding of both SQL and NoSQL databases.\nProduction experience with at least one major cloud platform:AWS\nAzure\nGCP\n\nExperience working with Docker and Kubernetes.\nStrong understanding of Git-based development workflows and CI/CD practices.\nExperience designing reliable, scalable, and production-ready distributed systems.\nStrong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.\nExperience working directly with customers, stakeholders, or technical partners.\nAbility to translate complex customer requirements into pragmatic technical solutions.\nStrong communication skills and the ability to operate effectively in customer-facing technical conversations.\nHigh degree of autonomy and ownership when solving ambiguous technical problems.\nHighly Relevant Experience\nExperience with any of the following will be especially valuable:\nIdentity and Access Management (IAM)\nIdentity Providers (IdPs)\nIdentity Security\nCybersecurity platforms\nSIEM systems\nSecurity telemetry\nNetwork security\nEndpoint security\nSASE / Zero Trust environments\nCloud security\nLarge-scale event processing\nStreaming architectures\nIntegration Experience\nPrevious experience integrating APIs or data from platforms such as the following is highly valuable:\nAWS\nMicrosoft Azure\nGoogle Cloud\nMicrosoft Entra ID / Active Directory\nOkta\nGoogle Workspace\nDuo\nCrowdStrike\nZscaler\nPalo Alto\nMicrosoft Defender\nSIEM and security analytics platforms\nDirect 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.\nNice to Have\nExperience with large-scale data processing or streaming platforms.\nExperience designing reusable connector SDKs or integration frameworks.\nUnderstanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.\nExperience with security events, audit logs, network telemetry, or cloud activity data.\nFamiliarity with event-driven and distributed system architectures.\nExperience deploying AI/ML-enabled applications.\nExposure to LLMs, AI agents, or AI-powered security applications.\nSolution Architecture or Forward Deployed Engineering experience.\nPrevious experience in cybersecurity startups or high-growth SaaS environments.\nWhat Success Looks Like\nSuccess in this role will be measured by your ability to:\nDeliver successful enterprise integrations and deployments.\nReduce customer time-to-production.\nBuild reliable and scalable ingestion solutions.\nImprove customer adoption and technical satisfaction.\nResolve complex integration challenges efficiently.\nTurn customer-specific requirements into reusable platform capabilities.\nContribute improvements that strengthen the scalability and flexibility of the core product.\nWhat Darwoft Offers\nContractor agreement with payment in USD\n100% remote work\nArgentina's public holidays\nEnglish classes\nReferral program\nAccess to learning platforms\nExplore this and other opportunities at:\nwww.darwoft.com/careers","description_format":"text","description_chars":8113,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate 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