Senior Data Engineer

🕒 Junho 26

🇦🇷 Argentina – Remoto

💵 $75.000 - $92.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 11%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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SecurityScorecard

501 - 1000 funcionários

Fundada em 2013

💼 Consultoria

🏥 Saúde

🛡️ Seguros

💰 $180.000.000 Series E em 2021-03

Consulting • Healthcare • Insurance

SecurityScorecard é uma empresa focada em cibersegurança e gestão de riscos. Ela oferece soluções para detecção e resposta na cadeia de suprimentos, gestão de riscos cibernéticos de terceiros e gestão da superfície de ataque externa (EASM). Ao aliar IA e ratings de segurança, a SecurityScorecard ajuda as organizações a aprimorar sua postura de cibersegurança e gerenciar riscos de forma eficaz. A plataforma da empresa permite monitoramento e remediação de vulnerabilidades, colaboração com fornecedores e conformidade com exigências regulatórias. A SecurityScorecard atende a uma ampla variedade de setores, incluindo setor público, tecnologia, saúde, serviços financeiros e outros. Seu conjunto abrangente de ferramentas e serviços, como Security Ratings e MAX, capacita as organizações a gerenciar proativamente riscos cibernéticos e a fortalecer sua estrutura geral de segurança.

Descrição

• We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. • You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. • You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience. • Participate in all stages of the software development life cycle, from design and development to deployment and maintenance. • Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals. • Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance. • Follow clean code principles, using best practices to write secure, testable, and well-documented software. • Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform. • Implement comprehensive testing and performance tuning to ensure system stability and uptime.

🎯 Requisitos

• 5+ years of experience working in the Data Engineering space, and with building and maintaining big data pipelines • 3+ years of experience working in agile environments (ideally Scrum), collaborating with cross-functional teams (engineering, design, product). • Proficient in Spark • Experience with strongly-typed languages (Java / Scala preferred) • Experience designing, building, and maintaining RESTful APIs and integrating with external services. • Participate in code reviews to ensure best practices, maintainability, and continuous improvement of the codebase. • Ability to write and maintain unit and integration tests based on acceptance criteria, ensuring code quality and reliability. • Proficiency with version control tools, particularly Git, for collaborative development and code management.

🏖️ Benefícios

• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements

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