Senior Data Engineer

🕒 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

• Build, test, and document Snowflake data models and business logic in dbt • Apply and improve data quality, testing, observability, and lineage standards • Collaborate with cross-functional partners to define data contracts and interfaces • Contribute to Capital Rx’s modular data platform and client-specific data configurations • Participate in design reviews; propose scalable, maintainable patterns • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes • Optimize cost and performance of jobs, storage, and queries with guidance • Write clear documentation and support knowledge sharing • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

🎯 Requisitos

• 5+ years in data engineering, software engineering, or related field • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling • Hands-on dbt experience (models, tests, documentation, deployments) • Experience with orchestration (Dagster or Airflow) and scheduling best practices • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools) • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness) • Effective communication and collaboration with technical and non-technical stakeholders • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories) • Performance tuning in Snowflake (warehouse sizing, clustering, caching)