Data Engineer I

🕒 Fevereiro 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $100.000 - $120.000 / ano

⏰ Tempo Integral

🟢 Júnior

🚰 Engenheiro de Dados

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Capital Rx

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 analytics-ready data models, curated data marts, and reusable datasets. • Build and maintain dbt projects (staging → intermediate → marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability. • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains. • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams. • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making. • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics. • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design. • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably. • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity. • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed. • 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 (or equivalent practical experience). • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred). • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments). • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions). • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time. • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling). • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills. • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work.

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options

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