Data and Analytics Engineer

🕒 Outubro 18

🌽 Illinois – Remoto

🌽 Illinois – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Engenheiro de Analytics

👻 Score fantasma 14%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.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.

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Collectiv

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2021

💼 Consultoria

📣 Marketing

🏥 Saúde

Consulting • Marketing • Healthcare

A Collectiv é uma empresa líder em consultoria Microsoft, especializada em arquitetura de dados, analytics e integração de tecnologias de IA. Ela é reconhecida por suas parcerias estratégicas com organizações para aprimorar suas iniciativas de dados usando ferramentas Microsoft, como Azure, Fabric, Power BI e Copilot. Como especialistas no Microsoft Data Stack, a Collectiv oferece uma gama de serviços, incluindo estratégia de dados, implementação, planejamento e previsão, além de aumento de equipe. Sua missão é simplificar processos de dados e permitir uma tomada de decisão eficaz baseada em dados em todos os negócios.

Descrição

• Design and implement modern data platforms using Microsoft Fabric and Databricks • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices • Develop scalable lakehouse architectures for analytics, reporting, and downstream data products • Translate business and analytical requirements into technical data models • Write, optimize, and tune SQL and Spark transformations for large-scale analytical workloads • Apply version control, CI/CD concepts, and code review standards to data engineering workflows • Design complex Power BI data models and enterprise-grade semantic layers • Create interactive reports and dashboards that drive client decisions • Develop, optimize, and peer-review DAX formulas • Integrate diverse data sources into Power BI • Ensure data quality, reliability, and usability across the analytics platform • Enable self-service analytics through trusted datasets and dashboards • Gather requirements from client stakeholders, communicate technical concepts, and manage expectations • Advise clients on Power BI solutions and data platform decisions • Research emerging tools and trends • Support marketing and business development efforts as a technical expert • Facilitate training and support platform adoption and change • Build strong client relationships and proactively identify opportunities to add value • Collaborate with project managers, architects, and consultants • Ensure solutions meet performance, scalability, security, and maintainability standards • Contribute to documentation, reusable patterns, knowledge sharing, retrospectives, and data platform standards • Maintain a minimum 75% utilization rate

🎯 Requisitos

• Bachelor’s degree from an accredited university • 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting • Hands-on production experience with Microsoft Fabric and/or Databricks; both strongly preferred • Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization • Power BI dataset modeling at enterprise scale and embedding/API scenarios • Strong SQL skills, including performance tuning and analytical query design • Experience designing analytics data models, including star schemas, semantic models, and lakehouse patterns • Ability to integrate data from diverse sources into data platforms and BI tools • Proven track record in a client-facing consulting role, working independently and managing stakeholder expectations • Strong written and verbal communication style; data-filled, precise, and client-ready • Preferred: experience migrating or modernizing legacy data warehouses to lakehouse architectures • Preferred: experience integrating data platforms with downstream applications or external APIs • Preferred: consulting experience spanning multiple clients, industries, or verticals • Relevant certifications preferred: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), or Databricks certifications • Preferred: exposure to advanced analytics use cases, including AI/ML model integration, predictive dashboards, or advanced statistical analysis

🏖️ Benefícios

• Fully remote work environment • Quarterly in-person team experiences • Competitive compensation • Professional development opportunities • Top-shelf benefits package • Unlimited time off • 100% covered health insurance, including medical, dental, and vision plans for you and your family • Competitive 401(k) with a 4% match • Educational assistance • Tech stipend • Discounts on various goods and services

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