Data Engineer

🕒 Abril 24

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Empassion Health

SiteLinkedInTodas as Vagas

11 - 50 funcionários

⚕️ Seguro de Saúde

Healthcare Insurance

A Empassion Health é uma empresa especializada em oferecer cuidados de suporte a pacientes e famílias que convivem com doenças graves. Sua missão é melhorar os resultados e as experiências dessas pessoas, aliviando os sintomas e reduzindo o estresse. A empresa colabora com equipes de cuidados já existentes para oferecer uma camada adicional de atenção, realizada por profissionais especialmente treinados diretamente nas residências dos pacientes, e está disponível 24 horas por dia, 7 dias por semana. A Empassion foca em elevar as experiências de pacientes e cuidadores ao garantir que o atendimento seja compassivo, abrangente e culturalmente sensível. Com uma rede cobrindo 45 estados até 2024, a Empassion continua a expandir sua atuação, garantindo acesso a cuidados de qualidade nos Estados Unidos.

Descrição

• Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve real problems. • Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud, ensuring high quality, automated data flows across cloud environments. • Implement unit tests and monitoring to guarantee data integrity and reproducibility. • Model and transform and structure healthcare datasets into usable formats that power data science models, and other reporting marts • Enhance and scale data models with SQL and dbt, ensuring precision and adaptability for new partnerships. • Write Python code for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build complex pipelines that enable flexible scheduling, conditional logic, and smooth integration across multiple data sources.

🎯 Requisitos

• 2+ years in data engineering or analytics engineering with proven ability to build pipelines and scalable workflows. • Strong SQL skills for querying large, complex datasets. • Proficiency in Python for data engineering tasks (transformations, APIs, automation). • Experience with cloud data warehouses and storage (GCP preferred: BigQuery, Cloud Storage, Composer; AWS/Azure equivalents acceptable). • Hands on experience with dbt or similar data modeling tools. • Comfort working in collaborative dev/staging/prod environments, partnering with Product and Tech to safely test, launch, and anticipate the impact of new changes. • Curiosity about operational workflows and a drive to partner with non-technical teams, ensuring data and reporting align with how the business actually runs. You're not just a spec-taker, you're part of the solution. • A proactive, problem-solving mindset and ability to thrive in fast-paced, iterative environments. • Strong communication skills to collaborate with analysts, engineers, and business stakeholders.

🏖️ Benefícios

• comprehensive medical, dental, and vision coverage • 401(k) retirement plan