Lead Data Engineer

🕒 Maio 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $117.600 - $161.700 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Humana

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1961

⚕️ Seguro de Saúde

Healthcare Insurance

A Humana é uma empresa de saúde dedicada a gerar um impacto positivo na saúde de indivíduos, comunidades e do sistema de saúde como um todo. Com foco em colocar a saúde em primeiro lugar, a Humana atende a uma ampla e diversa gama de populações, incluindo idosos e militares, oferecendo planos Medicare Advantage (HMO, PPO e PFFS). A Humana está comprometida em promover uma cultura de pertencimento e respeito mútuo, oferecendo benefícios competitivos e flexíveis para garantir a segurança financeira de seus funcionários e de suas famílias. A empresa se orgulha de criar um ambiente de trabalho inclusivo, no qual todos têm a oportunidade de ter sucesso.

Descrição

• Lead the architecture, engineering, and stabilization of the centralized Finance reporting data platform supporting enterprise Finance reporting and analytics initiatives. • Design and implement scalable Databricks lakehouse solutions utilizing Bronze/Silver/Gold (Medallion) architecture patterns to support Finance reporting, month-end close processes, and analytical workloads • Develop and optimize advanced Databricks notebooks, workflows, Delta Lake pipelines, and orchestration frameworks to ingest, transform, validate, and operationalize large-scale Finance datasets. • Engineer reporting-ready analytical datasets and dimensional models optimized for enterprise Power BI reporting, semantic models, and governed self-service analytics • Develop advanced SQL-based transformation logic, financial aggregations, reconciliations, and reporting datasets utilizing Databricks SQL and Snowflake capabilities • Design and maintain scalable star schema and curated reporting layer structures supporting financial hierarchies, KPI standardization, P&L reporting, variance analysis, and executive reporting requirements. • Establish and maintain standardized financial hierarchies, mappings, and metric definitions across business lines, ensuring consistency across reporting outputs • Lead month-end Finance data operationalization processes, including ingestion, snapshot management, reconciliations, validation controls, auditability, and close-cycle reporting readiness. • Implement enterprise-grade data quality, lineage, monitoring, validation, and change management frameworks to ensure financial data accuracy, traceability, and governance compliance • Partner with FP&A, Accounting, Reporting & Analytics leadership, and enterprise data teams to translate Finance reporting requirements into scalable data and reporting platform solutions. • Provide technical leadership and architectural guidance across Finance data platform initiatives, establish engineering standards and best practices, and oversee vendor/offshore delivery execution.

🎯 Requisitos

• Bachelor's degree in Information Systems, Computer Science, Analytics, Finance, or related field • 6+ years of experience in data engineering, BI data architecture, or analytics platforms • 3+ years of leadership experience leading data/BI engineering projects or platforms • 2+ years of people leadership experience with direct reports • Advanced SQL expertise for large-scale data transformation, modeling, and performance optimization • Advanced hands-on experience with Databricks engineering, including Spark, PySpark, Delta Lake, notebooks, workflows, and orchestration. • Strong understanding and practical implementation experience with Medallion Architecture (Bronze/Silver/Gold) and lakehouse design patterns. • Advanced SQL expertise, including complex transformations, performance optimization, window functions, dimensional modeling, and large-scale financial data processing. • Strong Power BI experience, including semantic model design, star schema modeling, dataset optimization, DAX understanding, and enterprise reporting enablement. • Experience designing curated analytical datasets optimized for reporting and self-service analytics consumption. • Experience operationalizing month-end Finance reporting processes, reconciliations, data validations, and close-cycle reporting support. • Experience working with Snowflake and cloud-based enterprise data platforms. • Strong stakeholder partnership experience with Finance, FP&A, Accounting, and Reporting organizations.

🏖️ Benefícios

• medical, dental and vision benefits • 401(k) retirement savings plan • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave) • short-term and long-term disability • life insurance • many other opportunities