Lead Data Engineer

🕒 Agosto 11

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $180.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 5%

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Hinshaw & Culbertson LLP

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1934

⚖️ Jurídico

🛡️ Seguros

🏥 Saúde

Legal • Insurance • Healthcare

Hinshaw & Culbertson LLP é um escritório de advocacia nacional que fornece serviços de litígios, consultoria empresarial e compliance regulatório para clientes em todo os Estados Unidos. O escritório publica frequentemente insights, alertas, webinars e comunicados de imprensa sobre temas como direito de seguros, compliance em saúde, antitruste e riscos de interrupção de negócios relacionados à IA, além de manter múltiplos escritórios e iniciativas de liderança, diversidade e pro bono. A Hinshaw atende clientes em indústrias de destaque com representação legal e trabalho de consultoria, destacando práticas e contratações em seguros e saúde, entre outras áreas.

Descrição

• Design, build, and maintain ETL/ELT pipelines integrating finance, HR, CRM, document management, and other enterprise systems • Define and enforce data architecture standards, models, schemas, and storage patterns for cloud data warehouse and lakehouse platforms • Lead implementation and operation of Microsoft Azure data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics • Own enterprise data warehouse and lakehouse platforms, including models, ingestion pipelines, performance, reliability, and operational health • Implement source control, branching strategies, CI/CD pipelines, automated testing, deployment workflows, monitoring, and alerting • Oversee scheduling, execution, reconciliation, and monitoring of production data workflows • Identify and resolve data pipeline failures, data quality issues, and performance bottlenecks • Partner with Information Governance and Security teams on data quality, lineage, reconciliation, stewardship, and source-of-truth ownership • Translate business requirements into technical solutions and explain complex data concepts to non-technical stakeholders • Ensure data solutions comply with security policies, confidentiality requirements, and regulatory obligations • Evaluate emerging data, analytics, and AI capabilities and lead proof-of-concepts • Provide design guidance, code reviews, and technical coaching to junior engineers or database professionals • Lead data-focused projects from initiation through delivery and coordinate internal teams and external vendors or consultants • Ensure knowledge transfer and long-term sustainability of delivered solutions

🎯 Requisitos

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience • 8+ years of hands-on experience in data engineering, ETL/ELT development, and data integration • 3+ years of experience designing and operating cloud-based data platforms; Microsoft Azure preferred • Strong MS SQL skills and experience with relational database design, development, and performance tuning; SQL Server preferred • Experience building reliable production data pipelines, including monitoring, alerting, and reconciliation • Experience with source control and deployment practices for data workflows, including Git and CI/CD pipelines • Excellent written and verbal communication skills, including ability to explain technical concepts to non-technical audiences • Ability to handle sensitive and confidential information with discretion and professionalism • Availability for occasional after-hours work for major releases or production incidents • Advanced experience with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure Synapse is preferred • Experience implementing enterprise data warehouses, data marts, and lakehouse architectures is preferred • Experience with Azure Data Factory, Talend, Boomi, or similar data integration platforms is preferred • Strong scripting and programming skills in Python, PowerShell, and/or .NET/C# are preferred • Familiarity with Power BI or Tableau is preferred • Experience with data governance frameworks, data quality controls, data cataloging, and lineage documentation is preferred • Experience in a law firm or professional services environment is a plus • Relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate, are a plus

🏖️ Benefícios

• Competitive compensation • Comprehensive benefits program • Opportunities to work on enterprise-scale technology initiatives • Equal employment opportunities • Reasonable accommodations to qualified individuals with disabilities