Senior Staff Engineer – Data Analytics

🕒 Setembro 25

🐊 Florida – Remoto

🐊 Florida – Remote

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

🦅 Patrocina Visto H1B

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NationsBenefits

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🏥 Saúde

💼 Consultoria

📦 Logística

💰 Private Equity Round em 2022-04

Healthcare • Consulting • Logistics

A NationsBenefits é uma empresa líder em tecnologia de saúde que se especializa em fornecer soluções de tecnologia financeira e gestão de benefícios suplementares. A empresa oferece uma variedade de serviços, incluindo cuidados auditivos através do NationsHearing, produtos de saúde e bem-estar via NationsOTC, e entrega de refeições através do NationsMarket. A NationsBenefits também oferece serviços especializados como assistência de emergência, transporte para cuidados de saúde e orientação personalizada de saúde utilizando inteligência artificial. Suas plataformas proprietárias, incluindo Benefits Pro™, facilitam o suporte aos membros, configuração de benefícios e transações de e-commerce. A NationsBenefits foca em melhorar os resultados dos membros, fechar lacunas no atendimento e aumentar a satisfação através de análises avançadas e programas personalizados.

Descrição

• Design, build, test, and maintain production-grade analytical data models using dbt and Databricks • Develop scalable Gold-layer models that translate operational data into business-ready analytical datasets • Design dimensional, domain-oriented, and reusable data models for reporting, analytics, and downstream data products • Establish separation between raw/curated data, Gold analytical models, and the enterprise semantic layer • Implement testing, documentation, lineage, version control, and deployment practices for analytical data assets • Design and evolve semantic models for consistent business metrics, dimensions, and KPIs • Build analytical foundations optimized for Tableau and other BI or self-service tools • Centralize reusable definitions and reduce duplicated business logic across dashboards, reports, and analyst workflows • Partner with analysts and business teams to translate business concepts into governed analytical models • Treat analytical datasets, semantic models, and reusable metrics as managed data products • Build reusable data products for multiple downstream consumers • Partner with product, analytics, engineering, and business teams to identify and prioritize data products • Improve usability, discoverability, and self-service usage of analytical data • Develop Python, SQL, shell scripting, and similar utilities to automate data preparation, validation, deployment, monitoring, and operational workflows • Build repeatable engineering patterns that replace manual analytics processes • Participate in code reviews, debugging, performance optimization, and production support • Apply Git, CI/CD, automated testing, modular development, and infrastructure-aware deployment practices • Establish standards and design patterns for analytics engineering, modeling, semantic layers, and data products • Provide technical guidance and mentorship to analytics engineers, analysts, and adjacent data teams • Review architectures and code while remaining an active platform contributor • Partner with data platform and data engineering teams on architecture, performance, governance, and data quality • Help define the roadmap for the organization's analytics engineering capability

🎯 Requisitos

• At least 10 years experience in analytics engineering, data engineering, business intelligence, or related disciplines • Advanced SQL skills and strong experience designing analytical data models • Production experience with dbt • Direct production experience with Databricks, including Delta Lake and modern lakehouse patterns • Experience developing analytical solutions consumed through Tableau or comparable BI platforms • Strong understanding of dimensional modeling, Gold-layer architecture, semantic modeling, metrics, and data governance • Experience building reusable data products rather than primarily developing individual reports or dashboards • Proficiency with Python and scripting/automation • Experience with Git, CI/CD, testing, code review, and modern software development practices • Ability to translate ambiguous business requirements into durable technical solutions • Comfortable designing enterprise semantic models, writing dbt transformations, debugging Python, optimizing Databricks workloads, and working with business stakeholders • No specific educational credential stated

🏖️ Benefícios

• Career advancement opportunities from within the organization • Fulfilling work environment • Opportunity to contribute to healthcare transformation • Work across multiple locations in the US, South America, and India