Senior Data Engineer, Product Data Systems

🕒 Ontem

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 12%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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BforeAI

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🔒 Cibersegurança

🤖 Inteligência Artificial

💸 Finanças

💰 Non Equity Assistance em 2024-02

Cybersecurity • Artificial Intelligence • Finance

BforeAI é uma empresa de cibersegurança que se especializa em soluções de segurança preditiva para prevenir ameaças online antes que elas impactem os negócios. Eles oferecem a plataforma PreCrime™, que prevê, bloqueia e antecipa ameaças cibernéticas, como phishing, spoofing, personificação, sequestro, ransomware, fraude online e exfiltração, de forma autônoma. Utilizando análise comportamental e inteligência artificial avançada, a BforeAI monitora atividades suspeitas de domínios e proporciona interrupção antes mesmo das ferramentas convencionais de inteligência de ameaças. Eles atendem a diversas indústrias, incluindo o setor financeiro, manufatura, varejo e mídia, com o objetivo de proteger marcas de danos financeiros e reputacionais. As soluções da BforeAI se integram perfeitamente aos sistemas de segurança existentes para interromper atividades maliciosas de forma proativa e são reconhecidas por sua eficácia em relatórios da Gartner, sendo uma empresa nomeada como Gartner Cool Vendor em 2024 para IA em Serviços Bancários & Investimentos.

Descrição

• Design, implement, test, deploy, and operate production services for ingestion, normalization, enrichment, identity resolution, scoring, and intelligence delivery • Build maintainable pipeline workers, event consumers, APIs, scheduled processes, and supporting libraries • Own the complete software lifecycle, including architecture, implementation, testing, deployment, monitoring, incident response, and improvement • Establish reusable engineering patterns for the team • Develop asynchronous workflows with explicit data, event, and work contracts • Design for duplicate delivery, ordering constraints, idempotency, retries, timeouts, partial failure, dead-letter handling, backpressure, and recovery • Make pipeline state and failures observable, with reconciliation for missing, delayed, duplicated, or inconsistent processing • Support safe replay and reprocessing without silently changing historical-result meaning • Preserve source evidence, provenance, lineage, processing context, and applicable versions • Define validation and quality controls at service boundaries and safely evolve schemas, contracts, and processing logic • Preserve tenant isolation while combining shared intelligence with customer-private evidence, configuration, and conclusions • Apply authorization, retention, deletion, audit, GDPR, and SOC 2 requirements throughout data-processing workflows • Evaluate managed services, open-source components, existing capabilities, and purpose-built services based on product and operational requirements • Contribute to architecture through working software, written proposals, prototypes, and technical review • Collaborate with Product, Platform Engineering, Threat Research, Data Science, Security, and customer-facing teams • Translate product requirements into technical contracts, communicate tradeoffs, and mentor engineers in modern data and distributed-systems practices

🎯 Requisitos

• Significant hands-on experience building and operating data-intensive software for an externally used SaaS product • Strong software engineering specialization in data systems • Production development experience with Go, Scala, Rust, Java, or another comparable backend-service language • Willingness to work primarily in Go for pipeline and product data services • Proficiency with Python and SQL • Understanding of relational, document, graph, key-value, analytical, and object-storage models and their tradeoffs • Understanding of distributed-systems concerns including asynchronous processing, delivery semantics, concurrency, backpressure, idempotency, consistency, recovery, and failure isolation • Experience designing or operating event-driven systems using Kafka, Azure Event Hubs, AWS Kinesis, or comparable messaging infrastructure • Experience with containers, cloud infrastructure, automated testing, CI/CD, infrastructure automation, monitoring, and production operations • Ability to reason about provenance, replay, data quality, multi-tenant isolation, shared data, private customer context, and authorization boundaries • Ability to evaluate unfamiliar technologies based on engineering principles, communicate clearly, challenge weak assumptions constructively, and own delivery outcomes • Relevant experience in cybersecurity, threat intelligence, fraud, abuse prevention, or other evidence-intensive domains may help • Relevant experience with data provenance, explainability, auditability, or regulated data systems may help • Relevant experience with graph-based data processing, Neo4j, Azure Data Explorer, or Azure Data Lake Storage may help • Relevant experience with machine-learning feature pipelines, model inputs and outputs, or feedback and learning systems may help • Relevant experience migrating legacy batch or pipeline workloads into service-based, event-driven architectures may help • Relevant experience operating customer-facing data systems under defined reliability and recovery expectations may help • Must be authorized to work in the country where based; position is not eligible for visa sponsorship • Experience with every listed technology is not required

🏖️ Benefícios

• Flexible time off • Sick days • All public holidays • Stock options • Location-independent work with a fully distributed team • Benefits tailored to the country where you will be working • Reasonable accommodations for qualified individuals with disabilities as needed