Data Engineer

🕒 Abril 29

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The Phia Group, LLC

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2000

⚕️ Seguro de Saúde

📋 Conformidade

💳 Fintech

💰 Private Equity Round em 2018-09

Healthcare Insurance • Compliance • Fintech

O Phia Group, LLC é um fornecedor dedicado a soluções de contenção de custos de saúde, focando em capacitar planos de saúde autogeridos a maximizar benefícios e minimizar custos. Através de um conjunto abrangente de serviços, incluindo sub-rogação e recuperação, negociação de sinistros e iniciativas de transparência de custos, o Phia Group visa ajudar empregadores e famílias a navegarem pelas complexidades do sistema de saúde com advocacia e expertise. Seu comprometimento com a melhoria da acessibilidade e da acessibilidade econômica dos cuidados de saúde os diferencia na indústria.

Descrição

• supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets • collaborating across multiple teams and stakeholders to solve complex problems and support data-driven initiatives • build, maintain, and optimize data pipelines utilizing Azure Data Factory • implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage • troubleshoot data issues and perform root cause analysis • collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements • support deployment and operationalization of machine learning models • continually improve ongoing reporting and analytics

🎯 Requisitos

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience • 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics • Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation • Experience supporting or working with AI/ML workflows • Understanding of model lifecycle concepts (training, validation, deployment, monitoring) • Expertise working with Snowflake for data warehousing • Proficiency with Git, Azure DevOps, and collaborative development best practices • Experience designing, developing, and deploying end-to-end pipelines using Azure Data Factory

🏖️ Benefícios

• unparalleled benefits for yourself • immersion in a company that was named one of USA Today’s Top Workplaces for 2026 • recognition by The Boston Globe and Louisville Business First for internal culture of inclusivity, enjoyment, and empathy