Senior Data Engineer

🕒 Abril 7

🚗 Michigan, Texas – Remoto

🚗 Michigan – Remote 🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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CertifID

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2017

💳 Fintech

🏠 Imobiliário

🔒 Cibersegurança

💰 $12.500.000 Series A em 2022-05

Fintech • Real Estate • Cybersecurity

A CertifID é uma empresa de tecnologia especializada em proteção contra fraudes eletrônicas, particularmente em transações imobiliárias. Sua plataforma oferece soluções para verificar identidades e validar dados bancários, protegendo corretores de imóveis, escritórios de advocacia, agentes de título e compradores/vendedores de imóveis contra fraudes. Com serviços como recuperação de fraudes e seguro contra fraude eletrônica, a CertifID garante que as transações sejam seguras. A empresa faz parcerias com companhias de título e escritórios de advocacia para aprimorar o padrão de cuidado com os clientes, oferecendo uma cobertura robusta de seguro para proteger os fundos dos clientes. A CertifID é altamente avaliada por sua proteção contra fraudes eletrônicas, com software amigável que previne rapidamente e de forma eficaz transações fraudulentas.

Descrição

• Design, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights • Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting • Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows • Apply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to use • Partner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectively • Proactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the business • Write high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffs • Contribute to a culture of craftsmanship through code reviews, documentation, and continuous improvement • Balance speed and quality, delivering quickly while building systems that scale with the company • Adapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environment

🎯 Requisitos

• 3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related role • Strong SQL skills and hands-on experience with data modeling for analytics use cases • Experience building and maintaining production data pipelines, transformations, and warehouses in a cloud-based environment • Comfort working with self-service BI and analytics tools, enabling non-technical stakeholders to answer their own questions • A hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirements • Experience supporting SaaS metrics such as revenue, usage, billing, or customer health reporting • Strong understanding of data warehousing concepts (fact/dimension modeling, performance optimization, data quality) • Proven ability to deliver quickly without compromising technical quality

🏖️ Benefícios

• Flexible vacation • 12 company-paid holidays • 10 paid sick days • No work on your birthday • Health, dental, and vision Insurance (including a $0 option) • 401(k) with matching, and no waiting period • Equity • Life insurance • Generous parental paid leave • Wellness reimbursement of $300/year • Remote worker reimbursement of $300/year • Professional development reimbursement • Competitive pay • An award-winning culture