Senior Data Engineer

🕒 Outubro 1

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $175.000 - $225.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Pax8

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏪 Marketplace

🤝 B2B

☁️ SaaS

💰 $50.000.000 Debt Financing - Pax8 em 2023-09

Marketplace • B2B • SaaS

A Pax8 é um marketplace e plataforma de comércio em nuvem que ajuda provedores de serviços gerenciados (MSPs) e pequenas empresas a descobrir, comprar, provisionar e gerenciar soluções de nuvem. Ela combina um marketplace de fornecedores, gerenciamento de assinaturas e faturamento, ofertas de segurança, treinamento (Academia) e serviços profissionais para permitir que os parceiros expandam, vendam de forma mais inteligente e protejam seus clientes.

Descrição

• Create architectural standards and technical frameworks guiding multiple engineering teams • Establish observability practices including lineage tracking, monitoring, data quality controls, and service reliability standards • Lead technical reviews and shape architectural decisions through documentation, design reviews, and strategic guidance • Identify opportunities for automation, platform improvement, and engineering efficiency • Coach and mentor engineers on modern data engineering, system design, and AI-assisted development • Collaborate with product, analytics, and data science stakeholders to translate business challenges into scalable data solutions • Define and monitor engineering quality metrics to improve reliability, deployment confidence, and operational excellence • Drive adoption of modern AI engineering practices while maintaining quality and governance • Champion platform improvements that eliminate recurring data challenges • Influence engineering strategy across teams through technical leadership and domain expertise • Enable reliable, secure, adaptable data platforms that support faster insights and business outcomes

🎯 Requisitos

• Extensive expertise in SQL, Python, and modern data engineering practices • Demonstrated ownership of complex data platforms and mission-critical engineering initiatives • Strong systems thinking and root-cause problem solving • Ability to define technical direction and influence engineering decisions across multiple teams • Significant experience designing distributed data processing solutions, data pipelines, and large-scale analytical platforms • Deep understanding of data orchestration, streaming technologies, and cloud-native data architectures • Expertise with modern analytical databases and large-scale data infrastructure • Strong judgment when leveraging AI tools while maintaining quality and governance standards • Experience mentoring engineers and developing technical capability across teams • Experience creating engineering standards, architectural patterns, and best practices adopted at scale • Knowledge of data governance, cataloging, access controls, and organizational data management • Ability to communicate complex technical concepts clearly to varied stakeholders • Growth mindset and passion for continuous learning • Valid right to work in United States • Successful completion of pre-employment ID verification, reference requests, qualification checks, and applicable additional checks

🏖️ Benefícios

• 401(k) with Company Match • Medical, Dental & Vision Coverage • Employee Assistance Program (EAP) • Employer-Paid Life, AD&D, Short-Term Disability & Long-Term Disability Insurance • Flexible Open PTO • Paid Sick Leave • Paid Parental Leave • Extensive room for career growth and advancement • Internal development hub • Learning & Development trainers • AI-powered tools • Mentorship from “born in the cloud” mentors • Cross-continent collaboration • RTD EcoPass (eligible Colorado-based employees)