Data Engineer II

🕒 Fevereiro 28

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Capital Rx

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2017

⚕️ Seguro de Saúde

💳 Fintech

🤖 Inteligência Artificial

Healthcare Insurance • Fintech • Artificial Intelligence

Capital Rx é a healthtech que mais cresce nos Estados Unidos, dedicada a transformar os modelos de precificação de medicamentos e de cuidado ao paciente. Fundada em 2017, oferece serviços inovadores de gestão de benefícios farmacêuticos (PBM), incluindo benefícios de farmácia personalizáveis para grandes empregadores e uma plataforma de navegação de cuidados com IA. A Capital Rx foca em entregar soluções custo-efetivas e eficiências operacionais aos clientes, garantindo transparência e cuidado de qualidade para os pacientes.

Descrição

• Partner closely with operational and analytics teams to translate business needs into effective data solutions • Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift • Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity • Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Technology, or a related field • Demonstrated proficiency in Python (or Java), SQL, JSON, and XML • Expertise in data warehousing architecture techniques and familiarity with Kimball methodology • Minimum 1+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines • Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth • Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders • A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges • 1+ years of experience as a Data Engineer, ideally in the healthcare or PBM sector • Proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience.