Senior Data Engineer

🕒 Maio 2

🧀 Wisconsin – Remoto

🧀 Wisconsin – Remote

💵 $125.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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WSI (Warehouse Specialists, LLC)

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1966

🚗 Transporte

🛍️ Comércio Eletrônico

🤝 B2B

Transport • eCommerce • B2B

A WSI (Warehouse Specialists, LLC) é uma empresa privada de logística terceirizada (3PL) com sessenta anos de experiência em armazenagem e transporte de ponta a ponta. A empresa oferece serviços de armazenagem para múltiplos clientes, contratos e dedicados (incluindo instalações químicas e com acesso ferroviário), além de prestação de serviços omni-channel para e-commerce, varejo e canais B2B, e serviços de transporte abrangentes que cobrem movimentações de pequenos pacotes, LTL, FTL, drayage e intermodal. A WSI foca em soluções personalizadas de cadeia de suprimentos para fabricantes e varejistas, enfatizando a precisão operacional, entrega pontual e conformidade específica do setor.

Descrição

• Own and deliver impactful data products within WSI’s medallion architecture. • Transform raw and conformed data into governed, high-quality datasets for analytics, AI, and operational use. • Design, build, and optimize data solutions on Microsoft Fabric, including pipelines, Lakehouse/Warehouse structures, PySpark notebooks, and semantic models. • Evolve and implement data architecture patterns (medallion, SCD, CDC, orchestration, CI/CD), adapting them to real-world scale, performance, and business needs. • Ensure data quality, observability, and performance at scale. • Implement validation frameworks, monitoring, SLAs, and cost-optimized storage and compute strategies. • Partner with stakeholders to translate requirements into reusable, scalable data models and curated data products. • Drive consolidation of legacy reporting and BI tools into a unified, governed analytics platform. • Embed security, governance, and best practices, including role-based access, cataloging, and release management. • Act as a technical leader, contributing to standards, mentoring peers, and elevating overall engineering quality. • Leverage modern dev tools (e.g., GitHub Copilot or similar) to accelerate delivery and engineering efficiency.

🎯 Requisitos

• 7+ years of data engineering experience, building and owning enterprise-scale data platforms and data products. • Proven experience with Microsoft Fabric or closely related Microsoft data technologies, including: Lakehouse/Warehouse architecture and OneLake. • Data pipelines and orchestration. • PySpark/Python-based data transformation. • Semantic modeling and Power BI integration. • Strong expertise in SQL dimensional modeling (star/snowflake), and incremental data patterns (SCD, CDC). • Demonstrated experience implementing data quality, testing, and observability frameworks. • Strong familiarity with Git-based workflows and CI/CD practices for data and analytics platforms. • Experience supporting business reporting and analytics, building clean, usable semantic models and datasets. • Domain experience in logistics, supply chain, or related systems (e.g., 3PL, WMS, TMS, OMS) strongly preferred.

🏖️ Benefícios

• Competitive wages, and opportunities for advancement. • Medical, Dental, Vision, Critical Illness, Accident, and Flexible Spending Plans available. • Company-paid Short/Long-term Disability, Life Insurance, and Employee Assistance plans. • Company-paid Time-Off (PTO), Sick Leave, and Holiday Pay. • Retirement 401(k) Plan with Discretionary Employer Match and Profit Sharing.