Senior Data Engineer

🕒 Junho 26

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 51%

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MDCalc

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2011

🏥 Saúde

⚕️ Seguro de Saúde

☁️ SaaS

Healthcare • Healthcare Insurance • SaaS

MDCalc é uma ferramenta amplamente utilizada que oferece um conjunto abrangente de calculadoras médicas para profissionais de saúde. Ela ajuda esses profissionais a tomar decisões embasadas ao disponibilizar cálculos para uma variedade de avaliações de saúde e estratégias de tratamento, abrangendo áreas como risco cardíaco, embolia pulmonar, fibrose hepática e muito mais. O MDCalc é usado por milhões de profissionais de saúde em todo o mundo para apoiar o cuidado de centenas de milhões de pacientes, assegurando que os cálculos sejam revisados e não utilizados como único guia para o cuidado do paciente. A plataforma também oferece recursos educacionais e integra-se a prontuários eletrônicos (EHR).

Descrição

• Design, build, and maintain scalable data pipelines and ELT/ETL workflows that support analytics, operational reporting, and business intelligence use cases • Build programmatic data pipelines (primarily in Python) that extract data from application and third-party systems, transform it into usable formats, and deliver it to downstream data platforms and consumers • Own and improve core data models and transformations to ensure data is accurate, well-structured, and easy for stakeholders to use • Partner with Product, Engineering, and Analytics teams to understand data needs and translate them into reliable data solutions • Develop and maintain systems that move data across the platform, ensuring it is properly shaped, structured, and available for downstream analysis and product use cases • Help shape and maintain the architecture of MDCalc’s modern data stack, including warehousing, orchestration, transformation, and monitoring • Improve data quality, observability, and reliability through testing, validation, and proactive monitoring practices • Support the ingestion and integration of data from a variety of application, product, and third-party sources • Establish and reinforce best practices around data governance, documentation, naming conventions, and maintainability • Identify and drive opportunities to improve performance, scalability, and efficiency across our data systems • Design efficient data workflows that query, transform, and deliver datasets to downstream systems and stakeholders • Contribute to technical direction and architectural decisions as a senior member of the team • Serve as a thought partner to teammates and cross-functional stakeholders on how to best leverage data across the business

🎯 Requisitos

• 5+ years experience in data engineering • Strong SQL skills and experience building and optimizing data models for analytical use cases • Experience building and maintaining reliable data pipelines in a modern cloud data environment • Strong proficiency in Python or a comparable programming language commonly used in data engineering • Experience building programmatic ETL/ELT pipelines using Python or similar tools to move and transform data across systems • Experience working with data warehouses such as Snowflake • Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or similar tools • Strong understanding of data architecture, data modeling, and pipeline design best practices • Ability to operate independently, prioritize effectively, and drive work forward in a fast-moving environment

🏖️ Benefícios

• Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference used by 65% of physicians worldwide. • Medical, Dental, & Vision coverage, with option to extend to your dependents • Company-sponsored short-term insurance • Fully-paid 8 week parental leave, after 6 months of employment • Company-sponsored 401k, after 3 months of employment • Unlimited vacation for salaried roles - we trust you to take the time you need • Tri-annual company offsites to connect, reflect, and plan together • Work from home monthly stipend • Hybrid work environment with a great team office in Greenwich Village, NYC • A culture of fun and motivated team members who believe in a greater mission here at