Senior Data Engineer

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🕒 Maio 14

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SmartLight Analytics

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2016

⚕️ Seguro de Saúde

💳 Fintech

Healthcare Insurance • Fintech • Data Services

A SmartLight Analytics é uma empresa de análises de saúde que fornece monitoramento independente e contínuo dos dados de sinistros de saúde dos funcionários. Eles se concentram em identificar e eliminar gastos desnecessários dentro dos planos de saúde, reduzindo, em última análise, os custos de saúde para empregadores autofinanciados sem exigir mudanças no comportamento dos funcionários. Com uma equipe de especialistas em análise de dados, saúde e investigação de fraudes, a SmartLight Analytics visa melhorar os benefícios de saúde e promover cuidados de alto valor para seus clientes enquanto garante a conformidade com as regulamentações de saúde.

Descrição

• Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems. • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability. • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data. • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud. • Build and maintain data transformations using dbt. • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows. • Mentor peers and contribute to engineering best practices, code reviews, and documentation. • Learn and adopt Sigma as the organization’s BI and reporting tool.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience. • 10+ years of experience in data engineering, ETL development, and data warehouse modeling. • Proven hands-on experience with Snowflake, including architecture, optimization, and security. • Strong proficiency in SQL and Python. • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma). • Experience with dbt and Azure Data Factory. • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices. • Experience implementing row-level and/or column-level security in a data warehouse environment. • Strong self-management skills with the ability to work independently in a fully remote environment.

🏖️ Benefícios

• Health care claim data management • Ownership and collaboration • Mentorship opportunities • Hands-on technical role