Senior Staff Software Engineer

🕒 Junho 11

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $142.530 - $178.110 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 16%

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.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Ritchie Bros.

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏗️ Construção

📦 Logística

💼 Consultoria

💰 Post-IPO Equity em 2023-01

Construction • Logistics • Consulting

Ritchie Bros. é um leiloeiro líder especializado na venda de equipamentos pesados e caminhões para vários setores, como construção, agricultura e petróleo & gás. Eles realizam leilões ao vivo e cronometrados globalmente, facilitando a participação online de compradores e vendedores. Com uma ampla variedade de categorias, incluindo guindastes, empilhadeiras e mais, a Ritchie Bros. oferece opções de financiamento e parcerias com provedores de transporte para facilitar o movimento fácil de ativos em todo o mundo.

Descrição

• Design and build major data systems, pipelines, frameworks, and reusable components, owning architecture within your area and contributing to platform-wide design alongside the Director Data Engineering. • Personally deliver complex, high-impact data engineering work on IAA’s Azure data and analytics stack — ingestion, transformation, storage, semantic modeling, and data delivery. • Apply and help refine engineering standards and patterns across code quality, performance, scalability, observability, and governance, and drive their adoption through example and code/design review. • Build robust pipelines, semantic models, and data products that power dashboards, self-service analytics, forecasting, and downstream machine learning systems. • Build the production-grade data pipelines and feature/data infrastructure that data scientists rely on to train, serve, and operationalize models. • Diagnose and resolve difficult performance, reliability, and scalability challenges across BI and data workloads (e.g., Power BI, Synapse, Fabric). • Contribute to technical strategy across Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, helping evaluate new tools and inform build/buy decisions. • Mentor data engineers and analytics engineers, conducting design reviews and helping elevate the technical capability of the team. • Serve as a technical partner to engineering leadership on data architecture and technical tradeoffs within your scope. • Translate complex business problems into practical, scalable, and well-architected data solutions.

🎯 Requisitos

• Extensive hands-on experience as a senior or staff-level data engineer, with a track record of designing and delivering production data systems at scale. • Deep expertise across the Azure BI / data technology stack, including: • - Microsoft Fabric • - Azure Synapse Analytics • - Power BI and semantic modeling • - Broader Azure data and analytics services • Strong command of data engineering architecture, modern analytics platforms, dimensional and semantic modeling, and scalable, fault-tolerant pipelines. • Expert-level proficiency in Python and SQL, with strong software engineering fundamentals (testing, version control, CI/CD, modular design). • Working understanding of how data scientists consume data, enough to build the pipelines and feature/data infrastructure that support model training and serving. • Demonstrated ability to solve ambiguous, complex problems through robust technical design and pragmatic execution. • Strong mentoring and influence skills — able to elevate engineering practices and lead technically within a team. • Excellent communication skills; able to explain complex technical concepts and tradeoffs to both technical and non-technical partners across Ops, Business, Sales, Marketing, Product, and Engineering. • Ability to thrive in a fast-paced, high-visibility environment with multiple priorities and stakeholders.

🏖️ Benefícios

• Medical, dental, vision, and basic life insurances. • 401k plan with 100% matching for the first 4% contributed. • 15 days of PTO each year.